| 1 |
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Matching users and items across domains to improve the recommendation quality |
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0 |
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ChungYi Li, ShouDe Lin |
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| 2 |
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FAST-PPR: scaling personalized pagerank estimation for large graphs |
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0 |
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Ashish Goel, Peter Lofgren, Seshadhri Comandur, Siddhartha Banerjee |
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| 3 |
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Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization |
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0 |
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Jimeng Sun, Joyce C. Ho, Joydeep Ghosh |
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| 4 |
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Identifying and labeling search tasks via query-based hawkes processes |
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0 |
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Anlei Dong, Hongbo Deng, Hongyuan Zha, Liangda Li, Yi Chang |
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| 5 |
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Personalized search result diversification via structured learning |
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0 |
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Maarten de Rijke, Shangsong Liang, Zhaochun Ren |
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| 6 |
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Frontiers in E-commerce personalization |
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0 |
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Sri Subramaniam |
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| 7 |
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Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks |
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0 |
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ChihChun Chia, Zeeshan Syed |
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| 8 |
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Leveraging user libraries to bootstrap collaborative filtering |
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0 |
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Hugo Larochelle, Laurent Charlin, Richard S. Zemel |
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| 9 |
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Streamed approximate counting of distinct elements: beating optimal batch methods |
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0 |
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Daniel Ting |
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| 10 |
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Unifying learning to rank and domain adaptation: enabling cross-task document scoring |
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0 |
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Kevin ChenChuan Chang, Mianwei Zhou |
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| 11 |
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GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation |
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0 |
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Cong Zhao, Defu Lian, Enhong Chen, Guangzhong Sun, Xing Xie, Yong Rui |
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| 12 |
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Analyzing expert behaviors in collaborative networks |
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0 |
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Huan Sun, Lance M. Kaplan, Mudhakar Srivatsa, Shu Tao, Shulong Tan, Xifeng Yan, Yang Li |
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| 13 |
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Activity ranking in LinkedIn feed |
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0 |
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Ajit Singh, Anand Iyer, BeeChung Chen, Deepak Agarwal, Joshua Hartman, Liang Zhang, Pannagadatta Shivaswamy, Qi He, Rupesh Gupta, Sumanth Kolar, Yiming Ma |
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| 14 |
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Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce |
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0 |
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Diane Hu, Josh Attenberg, Rob Hall |
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| 15 |
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Modeling impression discounting in large-scale recommender systems |
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0 |
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Laks V. S. Lakshmanan, Mitul Tiwari, Pei Lee, Sam Shah |
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| 16 |
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We know what you want to buy: a demographic-based system for product recommendation on microblogs |
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0 |
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Han Jiang, Wayne Xin Zhao, Xiaoming Li, Yanwei Guo, Yuexin Wu, Yulan He |
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| 17 |
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A cost-effective recommender system for taxi drivers |
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0 |
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Guannan Liu, Hengshu Zhu, Hui Xiong, Junming Liu, Meng Qu |
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| 18 |
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LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data |
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0 |
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Joydeep Ghosh, Yubin Park |
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| 19 |
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From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records |
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0 |
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Fei Wang, Jianying Hu, Jiayu Zhou, Jieping Ye |
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| 20 |
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COM: a generative model for group recommendation |
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0 |
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ChinYew Lin, Gao Cong, Quan Yuan |
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| 21 |
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Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) |
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0 |
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Alexander J. Smola, ChaoYuan Wu, Chong Wang, Jing Jiang, Minghui Qiu, Qiming Diao |
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| 22 |
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Active collaborative permutation learning |
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0 |
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James Evans, Jialei Wang, Nathan Srebro |
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| 23 |
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Improving the modified nyström method using spectral shifting |
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0 |
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Chao Zhang, Hui Qian, Shusen Wang, Zhihua Zhang |
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| 24 |
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Improved testing of low rank matrices |
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0 |
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David P. Woodruff, Yi Li, Zhengyu Wang |
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| 25 |
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Crowdsourced time-sync video tagging using temporal and personalized topic modeling |
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0 |
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Andrew Horner, Ben Tan, Bin Wu, Erheng Zhong, Qiang Yang |
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| 26 |
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LaSEWeb: automating search strategies over semi-structured web data |
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0 |
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Oleksandr Polozov, Sumit Gulwani |
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| 27 |
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Efficient multi-task feature learning with calibration |
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0 |
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Jiayu Zhou, Jieping Ye, Pinghua Gong, Wei Fan |
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| 28 |
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Multi-task copula by sparse graph regression |
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0 |
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Dacheng Tao, Tianyi Zhou |
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| 29 |
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Optimal recommendations under attraction, aversion, and social influence |
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0 |
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Laks V. S. Lakshmanan, Smriti Bhagat, Stratis Ioannidis, Wei Lu |
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| 30 |
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ClusCite: effective citation recommendation by information network-based clustering |
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0 |
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Jialu Liu, Jiawei Han, Lidan Wang, Quanquan Gu, Urvashi Khandelwal, Xiang Ren, Xiao Yu |
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| 31 |
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Mobile app recommendations with security and privacy awareness |
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0 |
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Enhong Chen, Hengshu Zhu, Hui Xiong, Yong Ge |
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| 32 |
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LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets |
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0 |
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K. Selçuk Candan, Xilun Chen |
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| 33 |
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Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering |
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0 |
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Hui Xiong, Yanjie Fu, Yong Ge, Yu Zheng, ZhiHua Zhou, Zijun Yao |
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| 34 |
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Integrating spreadsheet data via accurate and low-effort extraction |
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0 |
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Michael J. Cafarella, Zhe Chen |
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| 35 |
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Probabilistic latent network visualization: inferring and embedding diffusion networks |
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0 |
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Hiroshi Sawada, Noriko Takaya, Takeshi Kurashima, Tomoharu Iwata |
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| 36 |
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Temporal skeletonization on sequential data: patterns, categorization, and visualization |
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0 |
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Chuanren Liu, Geoff Jiang, Hui Xiong, Kai Zhang, Qiang Yang |
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| 37 |
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Inside the atoms: ranking on a network of networks |
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0 |
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Hanghang Tong, Jingchao Ni, Wei Fan, Xiang Zhang |
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| 38 |
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Efficient SimRank computation via linearizationPublication of this article pending inquiry |
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0 |
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Kenichi Kawarabayashi, Mitsuru Kusumoto, Takanori Maehara |
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| 39 |
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Medicine in the age of electronic health records |
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0 |
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Nigam Shah |
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| 40 |
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Up next: retrieval methods for large scale related video suggestion |
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0 |
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Dima Lepikhin, Jeremiah J. Harmsen, Lluis Garcia Pueyo, Michael Bendersky, Vanja Josifovski |
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| 41 |
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Large scale visual recommendations from street fashion images |
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0 |
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Anurag Bhardwaj, Neel Sundaresan, Robinson Piramuthu, Vignesh Jagadeesh, Wei Di |
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| 42 |
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Filling context-ad vocabulary gaps with click logs |
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0 |
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Akira Tajima, Koji Tsukamoto, Shingo Ono, Toru Hotta, Yukihiro Tagami, Yusuke Tanaka |
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| 43 |
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Does social good justify risking personal privacy? |
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0 |
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Geoffrey I. Webb, Raghu Ramakrishnan |
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| 44 |
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Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data |
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0 |
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Ishrar Hussain, John Ellenberger, Mengling Feng, Mohammad M. Ghassemi, Roger G. Mark, Thomas Brennan |
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| 45 |
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Recommendation in social media: recent advances and new frontiers |
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0 |
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Huan Liu, Jie Tang, Jiliang Tang |
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| 46 |
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Prediction of human emergency behavior and their mobility following large-scale disaster |
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0 |
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Quanshi Zhang, Ryosuke Shibasaki, Xuan Song, Yoshihide Sekimoto |
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| 47 |
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Fast flux discriminant for large-scale sparse nonlinear classification |
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0 |
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Kilian Q. Weinberger, Wenlin Chen, Yixin Chen |
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| 48 |
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Product selection problem: improve market share by learning consumer behavior |
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0 |
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John ChiShing Lui, Silei Xu |
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| 49 |
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Provable deterministic leverage score sampling |
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0 |
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Anastasios Kyrillidis, Christos Boutsidis, Dimitris S. Papailiopoulos |
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| 50 |
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Shallow semantic parsing of product offering titles (for better automatic hyperlink insertion) |
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0 |
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Gabor Melli |
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| 51 |
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Large-scale high-precision topic modeling on twitter |
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0 |
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Alek Kolcz, Andy Schlaikjer, Pankaj Gupta, ShuangHong Yang |
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| 52 |
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Bugbears or legitimate threats?: (social) scientists' criticisms of machine learning? |
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0 |
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Sendhil Mullainathan |
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| 53 |
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Inferring user demographics and social strategies in mobile social networks |
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0 |
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Jie Tang, Nitesh V. Chawla, Yang Yang, Yang Yang, Yuxiao Dong |
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| 54 |
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Travel time estimation of a path using sparse trajectories |
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0 |
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Yexiang Xue, Yilun Wang, Yu Zheng |
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| 55 |
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People on drugs: credibility of user statements in health communities |
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0 |
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Cristian DanescuNiculescuMizil, Gerhard Weikum, Subhabrata Mukherjee |
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| 56 |
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Topic-factorized ideal point estimation model for legislative voting network |
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0 |
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Bingyu Wang, Ning Jiang, Ting Chen, Yizhou Sun, Yupeng Gu |
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| 57 |
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User effort minimization through adaptive diversification |
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0 |
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Abhijith Kashyap, Mahbub Hasan, Vagelis Hristidis, Vassilis J. Tsotras |
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| 58 |
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Batch discovery of recurring rare classes toward identifying anomalous samples |
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0 |
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Bartek Rajwa, Halid Ziya Yerebakan, Murat Dundar |
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| 59 |
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Online multiple kernel regression |
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0 |
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Bin Li, Doyen Sahoo, Steven C. H. Hoi |
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| 60 |
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Sleep analytics and online selective anomaly detection |
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0 |
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Romesh G. Abeysuriya, Sanjay Chawla, Tahereh Babaie |
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| 61 |
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Utilizing temporal patterns for estimating uncertainty in interpretable early decision making |
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0 |
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Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic |
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| 62 |
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Detecting moving object outliers in massive-scale trajectory streams |
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0 |
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Elke A. Rundensteiner, Lei Cao, Qin Wang, Yanwei Yu |
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| 63 |
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Prototype-based learning on concept-drifting data streams |
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0 |
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Junming Shao, Stefan Kramer, Zahra Ahmadi |
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| 64 |
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The setwise stream classification problem |
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0 |
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Charu C. Aggarwal |
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| 65 |
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Large-scale adaptive semi-supervised learning via unified inductive and transductive model |
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0 |
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De Wang, Feiping Nie, Heng Huang |
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| 66 |
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Active semi-supervised learning using sampling theory for graph signals |
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0 |
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Aamir Anis, Akshay Gadde, Antonio Ortega |
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| 67 |
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Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence |
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0 |
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Dehua Cheng, Yan Liu |
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| 68 |
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Online chinese restaurant process |
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0 |
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ChiaHoang Lee, ChienLiang Liu, TsungHsun Tsai |
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| 69 |
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Distance queries from sampled data: accurate and efficient |
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0 |
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Edith Cohen |
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| 70 |
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Streaming submodular maximization: massive data summarization on the fly |
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0 |
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Amin Karbasi, Andreas Krause, Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman |
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| 71 |
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DeepWalk: online learning of social representations |
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0 |
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Bryan Perozzi, Rami AlRfou, Steven Skiena |
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| 72 |
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Open-domain quantity queries on web tables: annotation, response, and consensus models |
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0 |
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Soumen Chakrabarti, Sunita Sarawagi |
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| 73 |
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SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds |
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0 |
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Erich Schubert, HansPeter Kriegel, Michael Weiler |
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| 74 |
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Reducing the sampling complexity of topic models |
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0 |
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Aaron Q. Li, Alexander J. Smola, Amr Ahmed, Sujith Ravi |
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| 75 |
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CatchSync: catching synchronized behavior in large directed graphs |
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0 |
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Alex Beutel, Christos Faloutsos, Meng Jiang, Peng Cui, Shiqiang Yang |
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| 76 |
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Exponential random graph estimation under differential privacy |
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0 |
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Gerome Miklau, Wentian Lu |
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| 77 |
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Top-k frequent itemsets via differentially private FP-trees |
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0 |
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Christopher W. Clifton, Jaewoo Lee |
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| 78 |
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Semantic visualization for spherical representation |
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0 |
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Hady Wirawan Lauw, Tuan M. V. Le |
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| 79 |
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From labor to trader: opinion elicitation via online crowds as a market |
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0 |
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Caleb Chen Cao, H. V. Jagadish, Lei Chen |
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| 80 |
|
Optimal real-time bidding for display advertising |
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0 |
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Jun Wang, Shuai Yuan, Weinan Zhang |
|
| 81 |
|
Networked bandits with disjoint linear payoffs |
|
0 |
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Dacheng Tao, Meng Fang |
|
| 82 |
|
Modeling delayed feedback in display advertising |
|
0 |
|
Olivier Chapelle |
|
| 83 |
|
FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery |
|
0 |
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Fei Wang, Meng Jiang, Peng Cui, Shiqiang Yang, Wenwu Zhu, Xinran Xu |
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| 84 |
|
A bayesian framework for estimating properties of network diffusions |
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0 |
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Indrajit Bhattacharya, Rama Kumar Pasumarthi, Varun R. Embar |
|
| 85 |
|
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades |
|
0 |
|
Philip S. Yu, Senzhang Wang, Xia Hu, Zhoujun Li |
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| 86 |
|
Graph sample and hold: a framework for big-graph analytics |
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0 |
|
Jennifer Neville, Nesreen K. Ahmed, Nick G. Duffield, Ramana Rao Kompella |
|
| 87 |
|
Predicting long-term impact of CQA posts: a comprehensive viewpoint |
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0 |
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Feng Xu, Hanghang Tong, Jian Lu, Yuan Yao |
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| 88 |
|
Algorithms for interpretable machine learning |
|
0 |
|
Cynthia Rudin |
|
| 89 |
|
Scalable hands-free transfer learning for online advertising |
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0 |
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Brian Dalessandro, Claudia Perlich, Daizhuo Chen, Foster J. Provost, Melinda Han Williams, Troy Raeder |
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| 90 |
|
Budget pacing for targeted online advertisements at LinkedIn |
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0 |
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Deepak Agarwal, Kai Wei, Siyu You, Souvik Ghosh |
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| 91 |
|
Unveiling clusters of events for alert and incident management in large-scale enterprise it |
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0 |
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Derek Lin, Jin Yu, Joseph Fernandez, Rashmi Raghu, Regunathan Radhakrishnan, Vivek Ramamurthy |
|
| 92 |
|
A hazard based approach to user return time prediction |
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0 |
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Jaideep Srivastava, Komal Kapoor, Mingxuan Sun, Tao Ye |
|
| 93 |
|
Knock it off: profiling the online storefronts of counterfeit merchandise |
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0 |
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Geoffrey M. Voelker, Lawrence K. Saul, Matthew F. Der, Stefan Savage |
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| 94 |
|
A system to grade computer programming skills using machine learning |
|
0 |
|
Shashank Srikant, Varun Aggarwal |
|
| 95 |
|
An empirical study of reserve price optimisation in real-time bidding |
|
0 |
|
Bowei Chen, Jun Wang, Peter Mason, Sam Seljan, Shuai Yuan |
|
| 96 |
|
Modeling professional similarity by mining professional career trajectories |
|
0 |
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Abhishek Gupta, Ahmet Bugdayci, Anmol Bhasin, Ye Xu, Zang Li |
|
| 97 |
|
The battle for the future of data mining |
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0 |
|
Oren Etzioni |
|
| 98 |
|
A data driven approach to diagnosing and treating disease |
|
0 |
|
Eric E. Schadt |
|
| 99 |
|
Data, predictions, and decisions in support of people and society |
|
0 |
|
Eric Horvitz |
|
| 100 |
|
Modeling human location data with mixtures of kernel densities |
|
0 |
|
Moshe Lichman, Padhraic Smyth |
|
| 101 |
|
Unsupervised learning of disease progression models |
|
0 |
|
David A. Sontag, Fei Wang, Xiang Wang |
|
| 102 |
|
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments |
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0 |
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Alona Fyshe, Christos Faloutsos, Evangelos E. Papalexakis, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell |
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| 103 |
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Unfolding physiological state: mortality modelling in intensive care units |
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0 |
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Anna Rumshisky, Finale DoshiVelez, Marzyeh Ghassemi, Nicole Brimmer, Peter Szolovits, Rohit Joshi, Tristan Naumann |
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| 104 |
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FUNNEL: automatic mining of spatially coevolving epidemics |
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0 |
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Christos Faloutsos, Willem G. van Panhuis, Yasuko Matsubara, Yasushi Sakurai |
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| 105 |
|
Clinical risk prediction with multilinear sparse logistic regression |
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0 |
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Buyue Qian, Fei Wang, Ian Davidson, Ping Zhang, Xiang Wang |
|
| 106 |
|
Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease |
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0 |
|
James C. Ross, Jennifer G. Dy, Michael H. Cho, Peter J. Castaldi |
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| 107 |
|
Relevant overlapping subspace clusters on categorical data |
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0 |
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Bettina Konte, Claudia Plant, Jing Feng, Son T. Mai, Xiao He |
|
| 108 |
|
A dirichlet multinomial mixture model-based approach for short text clustering |
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0 |
|
Jianhua Yin, Jianyong Wang |
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| 109 |
|
Representative clustering of uncertain data |
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0 |
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Andreas Züfle, Arthur Zimek, Klaus Arthur Schmid, Matthias Renz, Nikos Mamoulis, Tobias Emrich |
|
| 110 |
|
SMVC: semi-supervised multi-view clustering in subspace projections |
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0 |
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Ines Färber, Matthias Sebastian Rüdiger, Stephan Günnemann, Thomas Seidl |
|
| 111 |
|
FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning |
|
0 |
|
Manik Varma, Yashoteja Prabhu |
|
| 112 |
|
A multi-class boosting method with direct optimization |
|
0 |
|
Shaodan Zhai, Shaojun Wang, Tian Xia |
|
| 113 |
|
An efficient algorithm for weak hierarchical lasso |
|
0 |
|
Jie Wang, Jieping Ye, Yashu Liu |
|
| 114 |
|
Class-distribution regularized consensus maximization for alleviating overfitting in model combination |
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0 |
|
Deepak S. Turaga, Jing Gao, Philip S. Yu, Sihong Xie, Wei Fan |
|
| 115 |
|
Large margin distribution machine |
|
0 |
|
Teng Zhang, ZhiHua Zhou |
|
| 116 |
|
Distance metric learning using dropout: a structured regularization approach |
|
0 |
|
Jian Pei, Juhua Hu, Qi Qian, Rong Jin, Shenghuo Zhu |
|
| 117 |
|
Incremental and decremental training for linear classification |
|
0 |
|
ChengHao Tsai, ChiehYen Lin, ChihJen Lin |
|
| 118 |
|
Supervised deep learning with auxiliary networks |
|
0 |
|
Guangjian Tian, Junbo Zhang, Wei Fan, Yadong Mu |
|
| 119 |
|
Box drawings for learning with imbalanced data |
|
0 |
|
Cynthia Rudin, Siong Thye Goh |
|
| 120 |
|
GLAD: group anomaly detection in social media analysis |
|
0 |
|
Qi Rose Yu, Xinran He, Yan Liu |
|
| 121 |
|
FBLG: a simple and effective approach for temporal dependence discovery from time series data |
|
0 |
|
Dehua Cheng, Mohammad Taha Bahadori, Yan Liu |
|
| 122 |
|
Learning time-series shapelets |
|
0 |
|
Josif Grabocka, Lars SchmidtThieme, Martin Wistuba, Nicolas Schilling |
|
| 123 |
|
Time-varying learning and content analytics via sparse factor analysis |
|
0 |
|
Andrew S. Lan, Christoph Studer, Richard G. Baraniuk |
|
| 124 |
|
Active learning for sparse bayesian multilabel classification |
|
0 |
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Andreas C. Damianou, Ashish Kapoor, Deepak Vasisht, Manik Varma |
|
| 125 |
|
Active-transductive learning with label-adapted kernels |
|
0 |
|
Dan Kushnir |
|
| 126 |
|
Effective global approaches for mutual information based feature selection |
|
0 |
|
James Bailey, Jeffrey Chan, Simone Romano, Xuan Vinh Nguyen |
|
| 127 |
|
Safe and efficient screening for sparse support vector machine |
|
0 |
|
James Cox, Jun Liu, Zheng Zhao |
|
| 128 |
|
Simultaneous feature and feature group selection through hard thresholding |
|
0 |
|
Jieping Ye, Shuo Xiang, Tao Yang |
|
| 129 |
|
Gradient boosted feature selection |
|
0 |
|
Alice X. Zheng, Gao Huang, Kilian Q. Weinberger, Zhixiang Eddie Xu |
|
| 130 |
|
Factorized sparse learning models with interpretable high order feature interactions |
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0 |
|
C.C. Jay Kuo, Martin Renqiang Min, Rachel Ostroff, Sanjay Purushotham |
|
| 131 |
|
Empirical glitch explanations |
|
0 |
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Divesh Srivastava, Ji Meng Loh, Tamraparni Dasu |
|
| 132 |
|
Learning with dual heterogeneity: a nonparametric bayes model |
|
0 |
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Hongxia Yang, Jingrui He |
|
| 133 |
|
Knowledge vault: a web-scale approach to probabilistic knowledge fusion |
|
0 |
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Evgeniy Gabrilovich, Geremy Heitz, Kevin Murphy, Ni Lao, Shaohua Sun, Thomas Strohmann, Wei Zhang, Wilko Horn, Xin Dong |
|
| 134 |
|
Scalable histograms on large probabilistic data |
|
0 |
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Feifei Li, Mingwang Tang |
|
| 135 |
|
Correlation clustering in MapReduce |
|
0 |
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Flavio Chierichetti, Nilesh N. Dalvi, Ravi Kumar |
|
| 136 |
|
Scaling out big data missing value imputations: pythia vs. godzilla |
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0 |
|
Christos Anagnostopoulos, Peter Triantafillou |
|
| 137 |
|
Efficient mini-batch training for stochastic optimization |
|
0 |
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Alexander J. Smola, Mu Li, Tong Zhang, Yuqiang Chen |
|
| 138 |
|
Scalable heterogeneous translated hashing |
|
0 |
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Bo Liu, Qiang Yang, Yangqiu Song, Yi Zhen, Ying Wei |
|
| 139 |
|
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution |
|
0 |
|
Christos Faloutsos, Nikou Günnemann, Stephan Günnemann |
|
| 140 |
|
TCS: efficient topic discovery over crowd-oriented service data |
|
0 |
|
Caleb Chen Cao, Lei Chen, Yongxin Tong |
|
| 141 |
|
Experiments with non-parametric topic models |
|
0 |
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Swapnil Mishra, Wray L. Buntine |
|
| 142 |
|
Dynamics of news events and social media reaction |
|
0 |
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Malú Castellanos, Mikalai Tsytsarau, Themis Palpanas |
|
| 143 |
|
Differentially private network data release via structural inference |
|
0 |
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KianLee Tan, Qian Xiao, Rui Chen |
|
| 144 |
|
Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors |
|
0 |
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Rong Pan, Xiaomin Fang |
|
| 145 |
|
Clustering and projected clustering with adaptive neighbors |
|
0 |
|
Feiping Nie, Heng Huang, Xiaoqian Wang |
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| 146 |
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Towards scalable critical alert mining |
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0 |
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Ambuj K. Singh, Bo Zong, Hasan Çam, Jiawei Han, Jie Song, Xifeng Yan, Yinghui Wu |
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| 147 |
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Grouping students in educational settings |
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0 |
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Behzad Golshan, Evimaria Terzi, Rakesh Agrawal |
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| 148 |
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Methods for ordinal peer grading |
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0 |
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Karthik Raman, Thorsten Joachims |
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| 149 |
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Inferring gas consumption and pollution emission of vehicles throughout a city |
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0 |
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Eric Chang, Jingbo Shang, Wenzhu Tong, Yong Yu, Yu Zheng |
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| 150 |
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Quantifying herding effects in crowd wisdom |
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0 |
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Dashun Wang, Fei Wang, Ting Wang |
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| 151 |
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Sentiment expression conditioned by affective transitions and social forces |
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0 |
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Andrew L. Maas, Andrés Goméz Emilsson, Christopher Potts, Moritz Sudhof |
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| 152 |
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Entity profiling with varying source reliabilities |
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0 |
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Furong Li, MongLi Lee, Wynne Hsu |
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| 153 |
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Mining topics in documents: standing on the shoulders of big data |
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0 |
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Bing Liu, Zhiyuan Chen |
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| 154 |
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Open question answering over curated and extracted knowledge bases |
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0 |
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Anthony Fader, Luke Zettlemoyer, Oren Etzioni |
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| 155 |
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Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs |
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0 |
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Daniel B. Neill, Feng Chen |
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| 156 |
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Event detection in activity networks |
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0 |
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Aris Anagnostopoulos, Aristides Gionis, Nikolaj Tatti, Polina Rozenshtein |
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| 157 |
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Profit-maximizing cluster hires |
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0 |
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Behzad Golshan, Evimaria Terzi, Theodoros Lappas |
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| 158 |
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On social event organization |
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0 |
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Cong Yu, Keqian Li, Laks V. S. Lakshmanan, Smriti Bhagat, Wei Lu |
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| 159 |
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Stability of influence maximization |
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0 |
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David Kempe, Xinran He |
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| 160 |
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Scalable diffusion-aware optimization of network topology |
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0 |
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Bistra Dilkina, Elias Boutros Khalil, Le Song |
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| 161 |
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Activity-edge centric multi-label classification for mining heterogeneous information networks |
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0 |
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Ling Liu, Yang Zhou |
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| 162 |
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Who to follow and why: link prediction with explanations |
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0 |
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Francesco Bonchi, Giuseppe Manco, Nicola Barbieri |
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| 163 |
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Meta-path based multi-network collective link prediction |
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0 |
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Jiawei Zhang, Philip S. Yu, ZhiHua Zhou |
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| 164 |
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Fast influence-based coarsening for large networks |
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0 |
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B. Aditya Prakash, Chanhyun Kang, Manish Purohit, V. S. Subrahmanian, Yao Zhang |
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| 165 |
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Minimizing seed set selection with probabilistic coverage guarantee in a social network |
|
0 |
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Jialin Zhang, Peng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang |
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| 166 |
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Core decomposition of uncertain graphs |
|
0 |
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Andreas Kaltenbrunner, Francesco Bonchi, Francesco Gullo, Yana Volkovich |
|
| 167 |
|
Learning multifractal structure in large networks |
|
0 |
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Austin R. Benson, Carlos Riquelme, Sven Schmit |
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| 168 |
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Focused clustering and outlier detection in large attributed graphs |
|
0 |
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Bryan Perozzi, Emmanuel Müller, Leman Akoglu, Patricia Iglesias Sánchez |
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| 169 |
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Community detection in graphs through correlation |
|
0 |
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Haibing Lu, Lian Duan, William Nick Street, Yanchi Liu |
|
| 170 |
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Heat kernel based community detection |
|
0 |
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David F. Gleich, Kyle Kloster |
|
| 171 |
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Community membership identification from small seed sets |
|
0 |
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Isabel M. Kloumann, Jon M. Kleinberg |
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| 172 |
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On the permanence of vertices in network communities |
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0 |
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Animesh Mukherjee, Niloy Ganguly, Sanjukta Bhowmick, Sriram Srinivasan, Tanmoy Chakraborty |
|
| 173 |
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The interplay between dynamics and networks: centrality, communities, and cheeger inequality |
|
0 |
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Kristina Lerman, Rumi Ghosh, ShangHua Teng, Xiaoran Yan |
|
| 174 |
|
Almost linear-time algorithms for adaptive betweenness centrality using hypergraph sketches |
|
0 |
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Yuichi Yoshida |
|
| 175 |
|
Balanced graph edge partition |
|
0 |
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Florian Bourse, Marc Lelarge, Milan Vojnovic |
|
| 176 |
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Using strong triadic closure to characterize ties in social networks |
|
0 |
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Panayiotis Tsaparas, Stavros Sintos |
|
| 177 |
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Network structural analysis via core-tree-decomposition Publication of this article pending inquiry |
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0 |
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Kenichi Kawarabayashi, Takanori Maehara, Takuya Akiba |
|
| 178 |
|
Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services |
|
0 |
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Ben Kao, Bin Bi, Chang Wan, Junghoo Cho |
|
| 179 |
|
Predictive modeling in practice: a case study from sprint |
|
0 |
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Jeremy Howard, Tracy De Poalo |
|
| 180 |
|
Data science through the lens of social science |
|
0 |
|
Drew Conway |
|
| 181 |
|
Information environment security |
|
0 |
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Rand Waltzman |
|
| 182 |
|
Big data for social good |
|
0 |
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Nathan Eagle |
|
| 183 |
|
Bringing data science to the speakers of every language |
|
0 |
|
Robert Munro |
|
| 184 |
|
Guilt by association: large scale malware detection by mining file-relation graphs |
|
0 |
|
Acar Tamersoy, Duen Horng Chau, Kevin A. Roundy |
|
| 185 |
|
Mining text snippets for images on the web |
|
0 |
|
Anitha Kannan, Ashish Kapoor, Dahua Lin, Juliet Fiss, Krishnan Ramnath, Lei Zhang, Lucy Vanderwende, Matt Uyttendaele, Qifa Ke, Rizwan Ansary, Simon Baker, XinJing Wang |
|
| 186 |
|
Predicting student risks through longitudinal analysis |
|
0 |
|
Ashay Tamhane, Bikram Sengupta, James Appleton, Mayuri Duggirala, Shajith Ikbal |
|
| 187 |
|
Targeting direct cash transfers to the extremely poor |
|
0 |
|
Brian Abelson, Joy Sun, Kush R. Varshney |
|
| 188 |
|
Novel geospatial interpolation analytics for general meteorological measurements |
|
0 |
|
Bingsheng Wang, Jinjun Xiong |
|
| 189 |
|
Proactive workflow modeling by stochastic processes with application to healthcare operation and management |
|
0 |
|
Chuanren Liu, Hui Xiong, Keli Xiao, Matt Perkins, Wei Geng, Yong Ge |
|
| 190 |
|
Correlating events with time series for incident diagnosis |
|
0 |
|
Chen Luo, Dongmei Zhang, JianGuang Lou, Qiang Fu, Qingwei Lin, Rui Ding, Zhe Wang |
|
| 191 |
|
Large scale predictive modeling for micro-simulation of 3G air interface load |
|
0 |
|
Dejan Radosavljevik, Peter van der Putten |
|
| 192 |
|
Modeling mass protest adoption in social network communities using geometric brownian motion |
|
0 |
|
B. Aditya Prakash, Edward R. Dougherty, Fang Jin, Feng Chen, Naren Ramakrishnan, Nathan Self, Rupinder Paul Khandpur, Sheng Guo |
|
| 193 |
|
A case study: privacy preserving release of spatio-temporal density in paris |
|
0 |
|
Claude Castelluccia, Gergely Ács |
|
| 194 |
|
Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good |
|
0 |
|
David M. Lodge, Erin K. Grey, Jian Xu, John M. Drake, Karsten Steinhaeuser, Nitesh V. Chawla, Reuben P. Keller, Thanuka L. Wickramarathne |
|
| 195 |
|
Corporate residence fraud detection |
|
0 |
|
Bart Minnaert, David Martens, Enric Junqué de Fortuny, Foster J. Provost, Julie Moeyersoms, Marija Stankova |
|
| 196 |
|
Scalable near real-time failure localization of data center networks |
|
0 |
|
Bolin Ding, Geoff Outhred, Herodotos Herodotou, Percy Fitter, Shobana Balakrishnan |
|
| 197 |
|
FoodSIS: a text mining system to improve the state of food safety in singapore |
|
0 |
|
Andy Prapanca, Jayant Kalagnanam, Kiran Kate, Sneha Chaudhari |
|
| 198 |
|
Predicting employee expertise for talent management in the enterprise |
|
0 |
|
Aleksandra Mojsilovic, DongPing Fang, Jun Wang, Kush R. Varshney, Scott W. Fancher, Vijil Chenthamarakshan |
|
| 199 |
|
EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management |
|
0 |
|
Andrea Marchetti, Carlo Meletti, Marco Avvenuti, Maurizio Tesconi, Stefano Cresci |
|
| 200 |
|
Applying data mining techniques to address critical process optimization needs in advanced manufacturing |
|
0 |
|
Bing Duan, Chao Shen, Chunqiu Zeng, Hongtai Li, Jingxuan Li, Lei Li, Li Zheng, Liang Tang, Ming Lei, Pengnian Wang, Tao Li, Wei Xue, Wubai Zhou, Yexi Jiang |
|
| 201 |
|
Identifying tourists from public transport commuters |
|
0 |
|
Gin Howe Goh, Huayu Wu, Mingqiang Xue, Wee Siong Ng, Wei Chen |
|
| 202 |
|
Spatially embedded co-offence prediction using supervised learning |
|
0 |
|
Martin Ester, Mohammad A. Tayebi, Patricia L. Brantingham, Uwe Glässer |
|
| 203 |
|
LASTA: large scale topic assignment on multiple social networks |
|
0 |
|
Adithya Rao, Jinyun Yan, Nemanja Spasojevic, Prantik Bhattacharyya |
|
| 204 |
|
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators |
|
0 |
|
Achla Marathe, Andy Doyle, Anil Vullikanti, Aravind Srinivasan, Bert Huang, ChangTien Lu, Chris Ackermann, Chris J. Kuhlman, David Mares, Dipak Gupta, Feng Chen, Gizem Korkmaz, Graham Katz, Ilya Zavorin, Jaime Arredondo, Jim Ford, Jose Cadena, Khoa Trinh, Kristen Maria Summers, Liang Zhao, Lise Getoor, Naren Ramakrishnan, Nathan Self, Parang Saraf, Patrick Butler, Rupinder Paul Khandpur, Sathappan Muthiah, Ting Hua, Wei Wang, Youssef Fayed |
|
| 205 |
|
New algorithms for parking demand management and a city-scale deployment |
|
0 |
|
Christopher R. Dance, JeanMarc Andreoli, Onno Zoeter, Stéphane Clinchant |
|
| 206 |
|
Reducing gang violence through network influence based targeting of social programs |
|
0 |
|
John Bertetto, Joseph Salmento, Paulo Shakarian, William R. Pulleyblank |
|
| 207 |
|
ISIS: a networked-epidemiology based pervasive web app for infectious disease pandemic planning and response |
|
0 |
|
Bryan L. Lewis, Jiangzhuo Chen, Keith R. Bisset, Madhav V. Marathe, Paula Elaine Stretz, Richard J. Beckman |
|
| 208 |
|
Log-based predictive maintenance |
|
0 |
|
Dmitriy Fradkin, Fabian Mörchen, Ruben Sipos, Zhuang Wang |
|
| 209 |
|
Seven rules of thumb for web site experimenters |
|
0 |
|
Alex Deng, Roger Longbotham, Ron Kohavi, Ya Xu |
|
| 210 |
|
Automated hypothesis generation based on mining scientific literature |
|
0 |
|
Ana Lelescu, Andreas Martin Lisewski, Angela D. Wilkins, Austin Comer, Benjamin J. Bachman, Curtis R. Pickering, Ioana Stanoi, Jacques J. Labrie, Jeffrey N. Myers, Lawrence A. Donehower, Linda Kato, Meena Nagarajan, Neha Parikh, Olivier Lichtarge, Peter J. Haas, Sam Regenbogen, Tajhal Dayaram, W. Scott Spangler, Ying Chen |
|
| 211 |
|
Scaling up deep learning |
|
0 |
|
Yoshua Bengio |
|
| 212 |
|
Bringing structure to text: mining phrases, entities, topics, and hierarchies |
|
0 |
|
Ahmed ElKishky, Chi Wang, Jiawei Han |
|
| 213 |
|
Computational epidemiology |
|
0 |
|
Anil Kumar S. Vullikanti, Madhav V. Marathe |
|
| 214 |
|
Correlation clustering: from theory to practice |
|
0 |
|
David GarcíaSoriano, Edo Liberty, Francesco Bonchi |
|
| 215 |
|
Deep learning |
|
0 |
|
Ruslan Salakhutdinov |
|
| 216 |
|
Network mining and analysis for social applications |
|
0 |
|
Feida Zhu, Huan Sun, Xifeng Yan |
|
| 217 |
|
Statistically sound pattern discovery |
|
0 |
|
Geoffrey I. Webb, Wilhelmiina Hämäläinen |
|