Abstract is missing.
- Graphons and Machine Learning: Modeling and Estimation of Sparse Massive NetworksJennifer T. Chayes. 1 [doi]
- Learning to Learn and Compositionality with Deep Recurrent Neural Networks: Learning to Learn and CompositionalityNando de Freitas. 3 [doi]
- The Evolving Meaning of Information SecurityWhitfield Diffie. 5 [doi]
- People, Computers, and The Hot Mess of Real DataJoseph M. Hellerstein. 7 [doi]
- A VC View of Investing in MLGreg Papadopoulos. 9 [doi]
- Big Data Needs Big Dreamers: Lessons from Successful Big Data InvestorsEvangelos Simoudis, Mark Gorenberg, Tim Guleri, Matt Ocko, Greg Sands. 11-12 [doi]
- Designing Policy Recommendations to Reduce Home Abandonment in MexicoKlaus Ackermann, Eduardo Blancas Reyes, Sue He, Thomas Anderson Keller, Paul van der Boor, Romana Khan, Rayid Ghani, José Carlos González. 13-20 [doi]
- Aircraft Trajectory Prediction Made Easy with Predictive AnalyticsSamet Ayhan, Hanan Samet. 21-30 [doi]
- Matrix Computations and Optimization in Apache SparkReza Bosagh Zadeh, Xiangrui Meng, Alexander Ulanov, Burak Yavuz, Li Pu, Shivaram Venkataraman, Evan R. Sparks, Aaron Staple, Matei Zaharia. 31-38 [doi]
- Predicting Disk Replacement towards Reliable Data CentersMirela Madalina Botezatu, Ioana Giurgiu, Jasmina Bogojeska, Dorothea Wiesmann. 39-48 [doi]
- Developing a Data-Driven Player Ranking in Soccer Using Predictive Model WeightsJoel Brooks, Matthew Kerr, John V. Guttag. 49-55 [doi]
- The Legislative Influence Detector: Finding Text Reuse in State LegislationMatthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani. 57-66 [doi]
- Identifying Police Officers at Risk of Adverse EventsSamuel Carton, Jennifer Helsby, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Crystal Cody, C. P. T. Estella Patterson, Lauren Haynes, Rayid Ghani. 67-76 [doi]
- Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons LearnedAlex Deng, Xiaolin Shi. 77-86 [doi]
- Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit RecordsBowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong. 87-96 [doi]
- Email Volume Optimization at LinkedInRupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales. 97-106 [doi]
- Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural NetworksJungwoo Ha, Hyuna Pyo, Jeonghee Kim. 107-115 [doi]
- Online Dual Decomposition for Performance and Delivery-Based Distributed Ad AllocationJim C. Huang, Rodolphe Jenatton, Cédric Archambeau. 117-126 [doi]
- Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering MethodsBo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang. 127-136 [doi]
- Ranking Universities Based on Career Outcomes of GraduatesNavneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic. 137-144 [doi]
- Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing CountriesMuhammad R. Khan, Joshua E. Blumenstock. 145-154 [doi]
- Repeat Buyer Prediction for E-CommerceGuimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen. 155-164 [doi]
- Audience Expansion for Online Social Network AdvertisingHaishan Liu, David Pardoe, Kun Liu, Manoj Thakur, Frank Cao, Chongzhe Li. 165-174 [doi]
- From Online Behaviors to Offline RetailingPing Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, ShengWen Yang, Qing He. 175-184 [doi]
- Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in AtlantaMichael Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina. 185-194 [doi]
- DopeLearning: A Computational Approach to Rap Lyrics GenerationEric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis. 195-204 [doi]
- EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting SystemSathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan. 205-214 [doi]
- Anomaly Detection Using Program Control Flow Graph Mining From Execution LogsAnimesh Nandi, Atri Mandal, Shubham Atreja, Gargi Banerjee Dasgupta, Subhrajit Bhattacharya. 215-224 [doi]
- Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media PlatformsAlexander G. Nikolaev, Shounak Gore, Venu Govindaraju. 225-234 [doi]
- Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled ExperimentsAlexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov. 235-244 [doi]
- Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised ApproachMahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan. 245-254 [doi]
- Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial FeaturesYing Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao. 255-262 [doi]
- Question Independent Grading using Machine Learning: The Case of Computer Program GradingGursimran Singh, Shashank Srikant, Varun Aggarwal. 263-272 [doi]
- Contextual Intent Tracking for Personal AssistantsYu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang. 273-282 [doi]
- An Empirical Study on Recommendation with Multiple Types of FeedbackLiang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal. 283-292 [doi]
- An Engagement-Based Customer Lifetime Value System for E-commerceAli Vanderveld, Addhyan Pandey, Angela Han, Rajesh Parekh. 293-302 [doi]
- Identifying Earmarks in Congressional BillsEllery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani. 303-311 [doi]
- Evaluating Mobile Apps with A/B and Quasi A/B TestsYa Xu, Nanyu Chen. 313-322 [doi]
- Ranking Relevance in Yahoo SearchDawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang. 323-332 [doi]
- Identifying Decision Makers from Professional Social NetworksShipeng Yu, Evangelia Christakopoulou, Abhishek Gupta. 333-342 [doi]
- Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability ProgramQingqi Yue, Ao Yuan, Xuan Che, Minh Huynh, Chunxiao Zhou. 343-352 [doi]
- Collaborative Knowledge Base Embedding for Recommender SystemsFuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma. 353-362 [doi]
- GLMix: Generalized Linear Mixed Models For Large-Scale Response PredictionXianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal. 363-372 [doi]
- A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann MachinesYijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky. 373-382 [doi]
- Recruitment Market Trend Analysis with Sequential Latent Variable ModelsChen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie. 383-392 [doi]
- Days on Market: Measuring Liquidity in Real Estate MarketsHengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu. 393-402 [doi]
- Can You Teach the Elephant to Dance? AKA: Culture Eats Data Science for BreakfastJonathan D. Becher. 403 [doi]
- How Machine Learning has Finally Solved Wanamaker's DilemmaOliver Downs. 405 [doi]
- Learning Sparse Models at ScaleRalf Herbrich. 407 [doi]
- Profiling Users from Online Social Behaviors with Applications for Tencent Social AdsChing Law. 409 [doi]
- The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning Derived from Millions of Data Science WorkflowsIngo Mierswa. 411 [doi]
- Bayesian Optimization and Embedded Learning SystemsJeff Schneider. 413 [doi]
- Accelerating the Race to Autonomous CarsDanny Shapiro. 415 [doi]
- Large-Scale Machine Learning at Verizon: Theory and ApplicationsAshok Srivastava. 417 [doi]
- Computational Social Science: Exciting Progress and Future ChallengesDuncan Watts. 419 [doi]
- MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting ApproachBo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian. 421-430 [doi]
- Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity BillNipun Batra, Amarjeet Singh, Kamin Whitehouse. 431-440 [doi]
- CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and DocumentsFedor Borisyuk, Krishnaram Kenthapadi, David Stein, Bo Zhao. 441-450 [doi]
- Domain Adaptation in the Absence of Source Domain DataBoris Chidlovskii, Stéphane Clinchant, Gabriela Csurka. 451-460 [doi]
- Kam1n0: MapReduce-based Assembly Clone Search for Reverse EngineeringSteven H. H. Ding, Benjamin C. M. Fung, Philippe Charland. 461-470 [doi]
- Joint Optimization of Multiple Performance Metrics in Online Video AdvertisingSahin Cem Geyik, Sergey Faleev, Jianqiang Shen, Sean O'Donnell, Santanu Kolay. 471-480 [doi]
- Convolutional Neural Networks for Steady Flow ApproximationXiaoxiao Guo, Wei Li, Francesco Iorio. 481-490 [doi]
- Computational Drug Repositioning Using Continuous Self-Controlled Case SeriesZhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page. 491-500 [doi]
- How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search RankingJia Li, Dhruv Arya, Viet Ha-Thuc, Shakti Sinha. 501-510 [doi]
- Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data AnalysisXiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn. 511-519 [doi]
- CompanyDepot: Employer Name Normalization in the Online Recruitment IndustryQiaoling Liu, Faizan Javed, Matt Mcnair. 521-530 [doi]
- Understanding Behaviors that Lead to Purchasing: A Case Study of PinterestCaroline Lo, Dan Frankowski, Jure Leskovec. 531-540 [doi]
- Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to RankCorey Lynch, Kamelia Aryafar, Josh Attenberg. 541-548 [doi]
- Text Mining in Clinical Domain: Dealing with NoiseHoang Nguyen, Jon Patrick. 549-558 [doi]
- Detecting Devastating Diseases in Search LogsJohn Paparrizos, Ryen W. White, Eric Horvitz. 559-568 [doi]
- When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation NetworksBryan Perozzi, Michael Schueppert, Jack Saalweachter, Mayur Thakur. 569-578 [doi]
- Deploying Analytics with the Portable Format for Analytics (PFA)Jim Pivarski, Collin Bennett, Robert L. Grossman. 579-588 [doi]
- Singapore in Motion: Insights on Public Transport Service Level Through Farecard and Mobile Data AnalyticsHasan Poonawala, Vinay Kolar, Sebastien Blandin, Laura Wynter, Sambit Sahu. 589-598 [doi]
- EMBERS AutoGSR: Automated Coding of Civil Unrest EventsParang Saraf, Naren Ramakrishnan. 599-608 [doi]
- Compute Job Memory Recommender System Using Machine LearningTaraneh Taghavi, Maria Lupetini, Yaron Kretchmer. 609-616 [doi]
- Scalable Time-Decaying Adaptive Prediction AlgorithmYinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho. 617-626 [doi]
- Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning TechniquesJan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua. 627-634 [doi]
- Crime Rate Inference with Big DataHongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li. 635-644 [doi]
- Improving the Sensitivity of Online Controlled Experiments: Case Studies at NetflixHuizhi Xie, Juliette Aurisset. 645-654 [doi]
- Talent Circle Detection in Job Transition NetworksHuang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu. 655-664 [doi]
- Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display AdvertisingWeinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu. 665-674 [doi]
- Compact and Scalable Graph Neighborhood SketchingTakuya Akiba, Yosuke Yano. 685-694 [doi]
- Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document StreamsHesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini. 695-704 [doi]
- Assessing Human Error Against a Benchmark of PerfectionAshton Anderson, Jon M. Kleinberg, Sendhil Mullainathan. 705-714 [doi]
- Inferring Network Effects from Observational DataDavid T. Arbour, Dan Garant, David D. Jensen. 715-724 [doi]
- Communication Efficient Distributed Kernel Principal Component AnalysisMaria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie 0002. 725-734 [doi]
- Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate PatternsRoel Bertens, Jilles Vreeken, Arno Siebes. 735-744 [doi]
- The Limits of Popularity-Based Recommendations, and the Role of Social TiesMarco Bressan, Stefano Leucci 0001, Alessandro Panconesi, Prabhakar Raghavan, Erisa Terolli. 745-754 [doi]
- Positive-Unlabeled Learning in Streaming NetworksShiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang. 755-764 [doi]
- FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered NetworksChen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He. 765-774 [doi]
- Predicting Matchups and Preferences in ContextShuo Chen, Thorsten Joachims. 775-784 [doi]
- XGBoost: A Scalable Tree Boosting SystemTianQi Chen, Carlos Guestrin. 785-794 [doi]
- Robust Influence MaximizationWei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou. 795-804 [doi]
- Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing CorrelationsWei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang. 805-814 [doi]
- Towards Conversational Recommender SystemsKonstantina Christakopoulou, Filip Radlinski, Katja Hofmann. 815-824 [doi]
- TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory SizeLorenzo De Stefani, Alessandro Epasto, Matteo Riondato, Eli Upfal. 825-834 [doi]
- A Subsequence Interleaving Model for Sequential Pattern MiningJaroslav M. Fowkes, Charles A. Sutton. 835-844 [doi]
- Efficient Frequent Directions Algorithm for Sparse MatricesMina Ghashami, Edo Liberty, Jeff M. Phillips. 845-854 [doi]
- node2vec: Scalable Feature Learning for NetworksAditya Grover, Jure Leskovec. 855-864 [doi]
- Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus DataLei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang. 865-874 [doi]
- Joint Community and Structural Hole Spanner Detection via Harmonic ModularityLiFang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, LinLin Shen, Philip S. Yu. 875-884 [doi]
- Robust Influence MaximizationXinran He, David Kempe. 885-894 [doi]
- FRAUDAR: Bounding Graph Fraud in the Face of CamouflageBryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos. 895-904 [doi]
- Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder DetectionHao Hu, Joey Velez-Ginorio, Guo-Jun Qi. 905-914 [doi]
- When Social Influence Meets Item InferenceHui-Ju Hung, Hong-Han Shuai, De-Nian Yang, Liang-Hao Huang, Wang-Chien Lee, Jian Pei, Ming-Syan Chen. 915-924 [doi]
- Privacy-preserving Class Ratio EstimationArun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi. 925-934 [doi]
- Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label ApplicationsHimanshu Jain, Yashoteja Prabhu, Manik Varma. 935-944 [doi]
- CatchTartan: Representing and Summarizing Dynamic Multicontextual BehaviorsMeng Jiang, Christos Faloutsos, Jiawei Han. 945-954 [doi]
- Smart Reply: Automated Response Suggestion for EmailAnjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala. 955-964 [doi]
- Mining Subgroups with Exceptional Transition BehaviorFlorian Lemmerich, Martin Becker 0003, Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier. 965-974 [doi]
- Point-of-Interest Recommendations: Learning Potential Check-ins from FriendsHuayu Li, Yong Ge, Richang Hong, Hengshu Zhu. 975-984 [doi]
- QUINT: On Query-Specific Optimal NetworksLiangyue Li, Yuan Yao 0001, Jie Tang, Wei Fan, Hanghang Tong. 985-994 [doi]
- Dynamic Clustering of Streaming Short DocumentsShangsong Liang, Emine Yilmaz, Evangelos Kanoulas. 995-1004 [doi]
- Rebalancing Bike Sharing Systems: A Multi-source Data Smart OptimizationJunming Liu, Leilei Sun, Weiwei Chen, Hui Xiong. 1005-1014 [doi]
- Unified Point-of-Interest Recommendation with Temporal Interval AssessmentYanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong. 1015-1024 [doi]
- AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex DatasetsSon T. Mai, Ira Assent, Martin Storgaard. 1025-1034 [doi]
- Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous GraphsEmaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu. 1035-1044 [doi]
- Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time SequencesYasuko Matsubara, Yasushi Sakurai. 1045-1054 [doi]
- Skinny-dip: Clustering in a Sea of NoiseSamuel Maurus, Claudia Plant. 1055-1064 [doi]
- Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation SystemsIgor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza. 1065-1074 [doi]
- Continuous Experience-aware Language ModelSubhabrata Mukherjee, Stephan Günnemann, Gerhard Weikum. 1075-1084 [doi]
- Structural Neighborhood Based Classification of Nodes in a NetworkSharad Nandanwar, M. Narasimha Murty. 1085-1094 [doi]
- Modeling Precursors for Event Forecasting via Nested Multi-Instance LearningYue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan. 1095-1104 [doi]
- Asymmetric Transitivity Preserving Graph EmbeddingMingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu 0001. 1105-1114 [doi]
- PTE: Enumerating Trillion Triangles On Distributed SystemsHa-Myung Park, Sung-Hyon Myaeng, U. Kang. 1115-1124 [doi]
- Robust Large-Scale Machine Learning in the CloudSteffen Rendle, Dennis Fetterly, Eugene J. Shekita, Bor-Yiing Su. 1125-1134 [doi]
- "Why Should I Trust You?": Explaining the Predictions of Any ClassifierMarco Túlio Ribeiro, Sameer Singh 0001, Carlos Guestrin. 1135-1144 [doi]
- ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher AveragesMatteo Riondato, Eli Upfal. 1145-1154 [doi]
- Sampling of Attributed Networks from Hierarchical Generative ModelsPablo Robles-Granda, Sebastián Moreno, Jennifer Neville. 1155-1164 [doi]
- Goal-Directed Inductive Matrix CompletionSi Si, Kai-yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon. 1165-1174 [doi]
- Graph Wavelets via Sparse CutsArlei Silva, Xuan Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami. 1175-1184 [doi]
- Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential DataPayam Siyari, Bistra Dilkina, Constantine Dovrolis. 1185-1194 [doi]
- Towards Optimal Cardinality Estimation of Unions and Intersections with SketchesDaniel Ting. 1195-1204 [doi]
- Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity MeasureKai Ming Ting, Ye Zhu, Mark Carman, Yue Zhu, Zhi-Hua Zhou. 1205-1214 [doi]
- Just One More: Modeling Binge Watching BehaviorWilliam Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson. 1215-1224 [doi]
- Structural Deep Network EmbeddingDaixin Wang, Peng Cui, Wenwu Zhu 0001. 1225-1234 [doi]
- Targeted Topic Modeling for Focused AnalysisShuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu 0001, Sherry Emery. 1235-1244 [doi]
- Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic MatrixXiaoqian Wang, Feiping Nie, Heng Huang. 1245-1254 [doi]
- A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis TestsGeoffrey I. Webb, François Petitjean. 1255-1264 [doi]
- Revisiting Random Binning Features: Fast Convergence and Strong ParallelizabilityLingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan. 1265-1274 [doi]
- Robust Extreme Multi-label LearningChang Xu, Dacheng Tao, Chao Xu 0006. 1275-1284 [doi]
- Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence PerspectiveTong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong. 1285-1294 [doi]
- DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural NetworksShuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang. 1295-1304 [doi]
- GMove: Group-Level Mobility Modeling Using Geo-Tagged Social MediaChao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han. 1305-1314 [doi]
- Approximate Personalized PageRank on Dynamic GraphsHongyang Zhang, Peter Lofgren, Ashish Goel. 1315-1324 [doi]
- Annealed Sparsity via Adaptive and Dynamic ShrinkingKai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye. 1325-1334 [doi]
- Partial Label Learning via Feature-Aware DisambiguationMin-Ling Zhang, Bin-Bin Zhou, Xu-Ying Liu. 1335-1344 [doi]
- FINAL: Fast Attributed Network AlignmentSi Zhang, Hanghang Tong. 1345-1354 [doi]
- Come-and-Go Patterns of Group Evolution: A Dynamic ModelTianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu 0001, Shiqiang Yang. 1355-1364 [doi]
- NetCycle: Collective Evolution Inference in Heterogeneous Information NetworksYizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu. 1365-1374 [doi]
- Accelerating Online CP Decompositions for Higher Order TensorsShuo Zhou, Nguyen Xuan Vinh, James Bailey, Yunzhe Jia, Ian Davidson. 1375-1384 [doi]
- Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video AdvertisingMiguel Angel Alcobendas Lisbona, Sheide Chammas, Kuang-Chih Lee. 1395-1404 [doi]
- Burstiness Scale: A Parsimonious Model for Characterizing Random Series of EventsRodrigo Augusto da Silva Alves, Renato Martins Assunção, Pedro Olmo Stancioli Vaz de Melo. 1405-1414 [doi]
- MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectoriesPrithu Banerjee, Pranali Yawalkar, Sayan Ranu. 1415-1424 [doi]
- From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource AllocationYanan Bao, Huasen Wu, Xin Liu. 1425-1434 [doi]
- Towards Robust and Versatile Causal Discovery for Business ApplicationsGiorgos Borboudakis, Ioannis Tsamardinos. 1435-1444 [doi]
- Deep Visual-Semantic Hashing for Cross-Modal RetrievalYue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu. 1445-1454 [doi]
- Predicting Socio-Economic Indicators using News EventsSunandan Chakraborty, Ashwin Venkataraman, Srikanth Jagabathula, Lakshminarayanan Subramanian. 1455-1464 [doi]
- City-Scale Map Creation and Updating using GPS CollectionsChen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas. 1465-1474 [doi]
- Compressing Convolutional Neural Networks in the Frequency DomainWenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen. 1475-1484 [doi]
- Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core EnvironmentsWei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin. 1485-1494 [doi]
- Multi-layer Representation Learning for Medical ConceptsEdward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun. 1495-1504 [doi]
- Finding Gangs in War from Signed NetworksLingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen. 1505-1514 [doi]
- Efficient Processing of Network Proximity Queries via Chebyshev AccelerationMustafa Coskun, Ananth Grama, Mehmet Koyutürk. 1515-1524 [doi]
- Latent Space Model for Road Networks to Predict Time-Varying TrafficDingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu. 1525-1534 [doi]
- Compressing Graphs and Indexes with Recursive Graph BisectionLaxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita. 1535-1544 [doi]
- Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov TestDenis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo Batista. 1545-1554 [doi]
- Recurrent Marked Temporal Point Processes: Embedding Event History to VectorNan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song. 1555-1564 [doi]
- Learning Cumulatively to Become More KnowledgeableGeli Fei, Shuai Wang, Bing Liu 0001. 1565-1574 [doi]
- Squish: Near-Optimal Compression for Archival of Relational DatasetsYihan Gao, Aditya G. Parameswaran. 1575-1584 [doi]
- Fast Component Pursuit for Large-Scale Inverse Covariance EstimationLei Han, Yu Zhang, Tong Zhang. 1585-1594 [doi]
- Meta Structure: Computing Relevance in Large Heterogeneous Information NetworksZhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li. 1595-1604 [doi]
- Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace NormZhouyuan Huo, Feiping Nie, Heng Huang. 1605-1614 [doi]
- Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior ExpectationsBo Kang, Jefrey Lijffijt, Raúl Santos-Rodriguez, Tijl De Bie. 1615-1624 [doi]
- Online Optimization Methods for the Quantification ProblemPurushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani 0001. 1625-1634 [doi]
- Smart Broadcasting: Do You Want to be Seen?Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez. 1635-1644 [doi]
- How to Compete Online for News Audience: Modeling Words that Attract ClicksJoon Hee Kim, Amin Mantrach, Alejandro Jaimes, Alice H. Oh. 1645-1654 [doi]
- Causal Clustering for 1-Factor Measurement ModelsErich Kummerfeld, Joseph Ramsey. 1655-1664 [doi]
- Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test DesignIgor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer. 1665-1674 [doi]
- Interpretable Decision Sets: A Joint Framework for Description and PredictionHimabindu Lakkaraju, Stephen H. Bach, Jure Leskovec. 1675-1684 [doi]
- Lightweight Monitoring of Distributed StreamsArnon Lazerson, Daniel Keren, Assaf Schuster. 1685-1694 [doi]
- Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with StockoutsBenjamin Letham, Lydia M. Letham, Cynthia Rudin. 1695-1704 [doi]
- Parallel Lasso Screening for Big Data OptimizationQingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang. 1705-1714 [doi]
- A Multi-Task Learning Formulation for Survival AnalysisYan Li, Jie Wang, Jieping Ye, Chandan K. Reddy. 1715-1724 [doi]
- A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) AlgorithmYanni Li, Hui Li, Tihua Duan, Sheng Wang, Zhi Wang, Yang Cheng. 1725-1734 [doi]
- Multi-Task Feature Interaction LearningKaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou. 1735-1744 [doi]
- Infinite Ensemble for Image ClusteringHongfu Liu, Ming Shao, Sheng Li, Yun Fu. 1745-1754 [doi]
- Scalable Pattern Matching over Compressed Graphs via DedensificationAntonio Maccioni, Daniel J. Abadi. 1755-1764 [doi]
- Scalable Betweenness Centrality Maximization via SamplingAhmad Mahmoody, Charalampos E. Tsourakakis, Eli Upfal. 1765-1773 [doi]
- User Identity Linkage by Latent User Space ModellingXin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou. 1775-1784 [doi]
- Safe Pattern Pruning: An Efficient Approach for Predictive Pattern MiningKazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi. 1785-1794 [doi]
- Predict Risk of Relapse for Patients with Multiple Stages of Treatment of DepressionZhi Nie, Pinghua Gong, Jieping Ye. 1795-1804 [doi]
- Lossless Separation of Web Pages into Layout Code and DataAdi Omari, Benny Kimelfeld, Eran Yahav, Sharon Shoham. 1805-1814 [doi]
- Unbounded Human Learning: Optimal Scheduling for Spaced RepetitionSiddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims. 1815-1824 [doi]
- Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label EmbeddingXiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han. 1825-1834 [doi]
- Reconstructing an Epidemic Over TimePolina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken. 1835-1844 [doi]
- Improving Survey Aggregation with Sparsely Represented SignalsTianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda. 1845-1854 [doi]
- Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View InterplayYu Shi, Myunghwan Kim 0002, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales. 1855-1864 [doi]
- Data-driven Automatic Treatment Regimen Development and RecommendationLeilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie. 1865-1874 [doi]
- Scalable Partial Least Squares Regression on Grammar-Compressed Data MatricesYasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi. 1875-1884 [doi]
- From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling ApproachMengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao. 1885-1894 [doi]
- The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain RecommendationBeidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. 1895-1904 [doi]
- Transfer Knowledge between CitiesYing Wei, Yu Zheng, Qiang Yang 0001. 1905-1914 [doi]
- Probabilistic Robust Route Recovery with Spatio-Temporal DynamicsHao Wu, Jiangyun Mao, Weiwei Sun, Baihua Zheng, Hanyuan Zhang, Ziyang Chen, Wei Wang. 1915-1924 [doi]
- A Truth Discovery Approach with Theoretical GuaranteeHouping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu. 1925-1934 [doi]
- Towards Confidence in the Truth: A Bootstrapping based Truth Discovery ApproachHouping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang. 1935-1944 [doi]
- Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel VariationHaichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu 0002. 1945-1954 [doi]
- Absolute Fused Lasso and Its Application to Genome-Wide Association StudiesTao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye. 1955-1964 [doi]
- Diversified Temporal Subgraph Pattern MiningYi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui. 1965-1974 [doi]
- Distributing the Stochastic Gradient Sampler for Large-Scale LDAYuan Yang, Jianfei Chen 0001, Jun Zhu. 1975-1984 [doi]
- FUSE: Full Spectral ClusteringWei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm. 1985-1994 [doi]
- A Text Clustering Algorithm Using an Online Clustering Scheme for InitializationJianhua Yin, Jianyong Wang. 1995-2004 [doi]
- Convex Optimization for Linear Query Processing under Approximate Differential PrivacyGanzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao. 2005-2014 [doi]
- Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its ApplicationsChengxi Zang, Peng Cui, Christos Faloutsos. 2015-2024 [doi]
- Online Context-Aware Recommendation with Time Varying Multi-Armed BanditChunqiu Zeng, Qing Wang, Shekoofeh Mokhtari, Tao Li. 2025-2034 [doi]
- Accelerated Stochastic Block Coordinate Descent with Optimal SamplingAston Zhang, Quanquan Gu. 2035-2044 [doi]
- Collaborative Multi-View DenoisingLei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji. 2045-2054 [doi]
- Online Asymmetric Active Learning with Imbalanced DataXiaoxuan Zhang, Tianbao Yang, Padmini Srinivasan. 2055-2064 [doi]
- FLASH: Fast Bayesian Optimization for Data Analytic PipelinesYuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun. 2065-2074 [doi]
- Portfolio Selections in P2P Lending: A Multi-Objective PerspectiveHongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen. 2075-2084 [doi]
- Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event ForecastingLiang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. 2085-2094 [doi]
- Efficient Shift-Invariant Dictionary LearningGuoqing Zheng, Yiming Yang, Jaime G. Carbonell. 2095-2104 [doi]
- Topic Modeling of Short Texts: A Pseudo-Document ViewYuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong. 2105-2114 [doi]
- Scalable Data Analytics Using R: Single Machines to Hadoop Spark ClustersJohn Mark Agosta, Debraj GuhaThakurta, Robert Horton, Mario Inchiosa, Srini Kumar, Mengyue Zhao. 2115 [doi]
- Lifelong Machine Learning and Computer Reading the WebZhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu 0001. 2117-2118 [doi]
- IoT Big Data Stream MiningGianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan. 2119-2120 [doi]
- Mining Reliable Information from Passively and Actively Crowdsourced DataJing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han. 2121-2122 [doi]
- Streaming AnalyticsAshish Gupta, Neera Agarwal. 2123 [doi]
- Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data MiningSara Hajian, Francesco Bonchi, Carlos Castillo. 2125-2126 [doi]
- Collective Sensemaking via Social Sensors: Extracting, Profiling, Analyzing, and Predicting Real-world EventsYuheng Hu, Yu-Ru Lin, Jiebo Luo. 2127-2128 [doi]
- Extracting Optimal Performance from Dynamic Time WarpingAbdullah Mueen, Eamonn J. Keogh. 2129-2130 [doi]
- Scalable Learning of Graphical ModelsFrançois Petitjean, Geoffrey I. Webb. 2131-2132 [doi]
- Leveraging Propagation for Data Mining: Models, Algorithms and ApplicationsB. Aditya Prakash, Naren Ramakrishnan. 2133-2134 [doi]
- CNTK: Microsoft's Open-Source Deep-Learning ToolkitFrank Seide, Amit Agarwal. 2135 [doi]
- Healthcare Data Mining with Matrix ModelsFei Wang, Ping Zhang, Joel Dudley. 2137-2138 [doi]
- Business Applications of Predictive Modeling at ScaleQiang Zhu 0002, Songtao Guo, Paul Ogilvie, Yan Liu. 2139-2140 [doi]