Table of Contents

• What's Fair?Cynthia Dwork. 1 [doi]
• The Future of Data IntegrationRenée J. Miller. 3 [doi]
• Three Principles of Data Science: Predictability, Stability and ComputabilityBin Yu. 5 [doi]
• Foreword to the Applied Data Science: Invited Talks Track at KDD-2017Usama M. Fayyad, Evangelos Simoudis, Ashok Srivastava. 7-8 [doi]
• More than the Sum of its Parts: Building Domino Data LabEduardo Ariño de la Rubia. 9 [doi]
• Mining Big Data in NeuroGenetics to Understand Muscular DystrophyAndy Berglund. 11 [doi]
• Industrial Machine LearningJosh Bloom. 13 [doi]
• Behavior Informatics to Discover Behavior Insight for Active and Tailored Client ManagementLongbing Cao. 15-16 [doi]
• It Takes More than Math and Engineering to Hit the Bullseye with DataParitosh Desai. 17 [doi]
• Planning and Learning under Uncertainty: Theory and PracticeJonathan P. How. 19 [doi]
• Big Data in Climate: Opportunities and Challenges for Machine LearningAnuj Karpatne, Vipin Kumar. 21-22 [doi]
• Addressing Challenges with Big Data for Media MeasurementMainak Mazumdar. 23 [doi]
• Machine Learning Software in Practice: Quo Vadis?Szilárd Pafka. 25 [doi]
• Designing AI at Scale to Power Everyday LifeRajesh Parekh. 27 [doi]
• Spaceborne Data Enters the MainstreamDavid Potere. 29 [doi]
• Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess?Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, Jeong-Yoon Lee. 31-32 [doi]
• The Future of Artificially Intelligent AssistantsMuthu Muthukrishnan, Andrew Tomkins, Larry Heck, Alborz Geramifard, Deepak Agarwal. 33-34 [doi]
• Learning Certifiably Optimal Rule ListsElaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo Seltzer, Cynthia Rudin. 35-44 [doi]
• Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment NetworksChen Avin, Zvi Lotker, Yinon Nahum, David Peleg. 45-53 [doi]
• Unsupervised Network Discovery for Brain Imaging DataZilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang 0001, Ian Davidson. 55-64 [doi]
• Patient Subtyping via Time-Aware LSTM NetworksInci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou. 65-74 [doi]
• k Multiclass SVM for Visual Category RecognitionXiaojun Chang, Yaoliang Yu, Yi Yang. 75-83 [doi]
• KATE: K-Competitive Autoencoder for TextYu Chen, Mohammed J. Zaki. 85-94 [doi]
• A Minimal Variance Estimator for the Cardinality of Big Data Set IntersectionReuven Cohen, Liran Katzir 0001, Aviv Yehezkel. 95-103 [doi]
• HyperLogLog Hyperextended: Sketches for Concave Sublinear Frequency StatisticsEdith Cohen. 105-114 [doi]
• Fast Enumeration of Large k-PlexesAlessio Conte, Donatella Firmani, Caterina Mordente, Maurizio Patrignani, Riccardo Torlone. 115-124 [doi]
• Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif DiscoveryHoang Anh Dau, Eamonn J. Keogh. 125-134 [doi]
• metapath2vec: Scalable Representation Learning for Heterogeneous NetworksYuxiao Dong, Nitesh V. Chawla, Ananthram Swami. 135-144 [doi]
• Ego-Splitting Framework: from Non-Overlapping to Overlapping ClustersAlessandro Epasto, Silvio Lattanzi, Renato Paes Leme. 145-154 [doi]
• Contextual Motifs: Increasing the Utility of Motifs using Contextual DataIan Fox, Lynn Ang, Mamta Jaiswal, Rodica Pop-Busui, Jenna Wiens. 155-164 [doi]
• Unsupervised P2P Rental Recommendations via Integer ProgrammingYanjie Fu, Guannan Liu, Mingfei Teng, Charu Aggarwal. 165-173 [doi]
• The Co-Evolution Model for Social Network Evolving and Opinion MigrationYupeng Gu, Yizhou Sun, Jianxi Gao. 175-184 [doi]
• Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature GroupingBin Gu, Guodong Liu, Heng Huang. 185-193 [doi]
• Clustering Individual Transactional Data for Masses of UsersRiccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi. 195-204 [doi]
• Network Inference via the Time-Varying Graphical LassoDavid Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec. 205-213 [doi]
• Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series DataDavid Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec. 215-223 [doi]
• Efficient Correlated Topic Modeling with Topic EmbeddingJunxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing. 225-233 [doi]
• Accelerating Innovation Through Analogy MiningTom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf. 235-243 [doi]
• Communication-Efficient Distributed Block Minimization for Nonlinear Kernel MachinesCho-Jui Hsieh, Si Si, Inderjit S. Dhillon. 245-254 [doi]
• A Hierarchical Algorithm for Extreme ClusteringAri Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum. 255-264 [doi]
• Estimating Treatment Effect in the Wild via Differentiated Confounder BalancingKun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang. 265-274 [doi]
• The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of UnobservablesHimabindu Lakkaraju, Jon M. Kleinberg, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan. 275-284 [doi]
• Constructivism Learning: A Learning Paradigm for Transparent Predictive AnalyticsXiaoli Li 0013, Jun Huan. 285-294 [doi]
• Is the Whole Greater Than the Sum of Its Parts?Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler. 295-304 [doi]
• Collaborative Variational Autoencoder for Recommender SystemsXiaopeng Li, James She. 305-314 [doi]
• Linearized GMM Kernels and Normalized Random Fourier FeaturesPing Li. 315-324 [doi]
• Discrete Content-aware Matrix FactorizationDefu Lian, Rui Liu, Yong Ge, Kai Zheng 0001, Xing Xie 0001, Longbing Cao. 325-334 [doi]
• Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic StreamsJunming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong. 335-344 [doi]
• Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance LearningTingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang. 345-354 [doi]
• Discovering Reliable Approximate Functional DependenciesPanagiotis Mandros, Mario Boley, Jilles Vreeken. 355-363 [doi]
• Towards an Optimal Subspace for K-MeansDominik Mautz, Wei Ye, Claudia Plant, Christian Böhm. 365-373 [doi]
• SPARTan: Scalable PARAFAC2 for Large & Sparse DataIoakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun. 375-384 [doi]
• struc2vec: Learning Node Representations from Structural IdentityLeonardo Filipe Rodrigues Ribeiro, Pedro H. P. Saverese, Daniel R. Figueiredo. 385-394 [doi]
• Similarity ForestsSaket Sathe, Charu C. Aggarwal. 395-403 [doi]
• Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-ShapingParikshit Shah, Akshay Soni, Troy Chevalier. 405-414 [doi]
• On Finding Socially Tenuous Groups for Online Social NetworksChih-Ya Shen, Liang-Hao Huang, De-Nian Yang, Hong-Han Shuai, Wang-Chien Lee, Ming-Syan Chen. 415-424 [doi]
• PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information NetworksYu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han 0001. 425-434 [doi]
• Multi-Aspect Streaming Tensor CompletionQingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu. 435-443 [doi]
• Scalable and Sustainable Deep Learning via Randomized HashingRyan Spring, Anshumali Shrivastava. 445-454 [doi]
• AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label ClassificationYukihiro Tagami. 455-464 [doi]
• Interpretable Predictions of Tree-based Ensembles via Actionable Feature TweakingGabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas. 465-474 [doi]
• Structural Deep Brain Network MiningShen Wang, LiFang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin. 475-484 [doi]
• Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel MethodsSuhang Wang, Charu Aggarwal, Huan Liu. 485-494 [doi]
• Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes ProcessesPengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu Aggarwal. 495-503 [doi]
• FORA: Simple and Effective Approximate Single-Source Personalized PageRankSibo Wang 0001, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang. 505-514 [doi]
• Large-scale Collaborative Ranking in Near-Linear TimeLiwei Wu, Cho-Jui Hsieh, James Sharpnack. 515-524 [doi]
• HoORaYs: High-order Optimization of Rating Distance for Recommender SystemsJingwei Xu, Yuan Yao 0001, Hanghang Tong, XianPing Tao, Jian Lu. 525-534 [doi]
• Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local ContextsGuangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang. 535-543 [doi]
• PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme ClassificationIan En-Hsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing. 545-553 [doi]
• Local Higher-Order Graph ClusteringHao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich. 555-564 [doi]
• Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social ConnectivityChengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu 0001. 565-574 [doi]
• Weisfeiler-Lehman Neural Machine for Link PredictionMuhan Zhang, Yixin Chen. 575-583 [doi]
• EmbedJoin: Efficient Edit Similarity Joins via EmbeddingsHaoyu Zhang, Qin Zhang 0001. 585-594 [doi]
• TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet StreamsChao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han 0001. 595-604 [doi]
• Graph Edge Partitioning via Neighborhood HeuristicChenzi Zhang, Fan Wei, Qin Liu, Zhihao Gavin Tang, Zhenguo Li. 605-614 [doi]
• Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression SamplingKai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye. 615-623 [doi]
• Tracking the Dynamics in CrowdfundingHongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu. 625-634 [doi]
• Meta-Graph Based Recommendation Fusion over Heterogeneous Information NetworksHuan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, Dik Lun Lee. 635-644 [doi]
• Coresets for Kernel RegressionYan Zheng, Jeff M. Phillips. 645-654 [doi]
• A Local Algorithm for Structure-Preserving Graph CutDawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He. 655-664 [doi]
• Anomaly Detection with Robust Deep AutoencodersChong Zhou, Randy C. Paffenroth. 665-674 [doi]
• Effective Evaluation Using Logged Bandit Feedback from Multiple LoggersAman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims. 687-696 [doi]
• Tripoles: A New Class of Relationships in Time Series DataSaurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar. 697-706 [doi]
• Post Processing Recommender Systems for DiversityArda Antikacioglu, R. Ravi 0001. 707-716 [doi]
• Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User ReviewsKonstantin Bauman, Bing Liu 0001, Alexander Tuzhilin. 717-725 [doi]
• Bolt: Accelerated Data Mining with Fast Vector CompressionDavis W. Blalock, John V. Guttag. 727-735 [doi]
• Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent EmbeddingsAleksandar Bojchevski, Yves Matkovic, Stephan Günnemann. 737-746 [doi]
• DeepMood: Modeling Mobile Phone Typing Dynamics for Mood DetectionBokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow. 747-755 [doi]
• Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex OptimizationJinghui Chen, Quanquan Gu. 757-766 [doi]
• On Sampling Strategies for Neural Network-based Collaborative FilteringTing Chen, Yizhou Sun, Yue Shi, Liangjie Hong. 767-776 [doi]
• Unsupervised Feature Selection in Signed Social NetworksKewei Cheng, Jundong Li, Huan Liu. 777-786 [doi]
• GRAM: Graph-based Attention Model for Healthcare Representation LearningEdward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun. 787-795 [doi]
• Algorithmic Decision Making and the Cost of FairnessSam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq. 797-806 [doi]
• Structural Diversity and Homophily: A Study Across More Than One Hundred Big NetworksYuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla. 807-816 [doi]
• Revisiting Power-law Distributions in Spectra of Real World NetworksNicole Eikmeier, David F. Gleich. 817-826 [doi]
• REMIX: Automated Exploration for Interactive Outlier DetectionYanjie Fu, Charu Aggarwal, Srinivasan Parthasarathy 0001, Deepak S. Turaga, Hui Xiong. 827-835 [doi]
• Anarchists, Unite: Practical Entropy Approximation for Distributed StreamsMoshe Gabel, Daniel Keren, Assaf Schuster. 837-846 [doi]
• Recurrent Poisson Factorization for Temporal RecommendationSeyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee. 847-855 [doi]
• SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression AnalysisQiming Huang, Michael Zhu. 857-865 [doi]
• Incremental Dual-memory LSTM in Land Cover PredictionXiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul West, Vipin Kumar. 867-876 [doi]
• MetaPAD: Meta Pattern Discovery from Massive Text CorporaMeng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han 0001. 877-886 [doi]
• Federated Tensor Factorization for Computational PhenotypingYejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang. 887-895 [doi]
• Statistical Emerging Pattern Mining with Multiple Testing CorrectionJunpei Komiyama, Masakazu Ishihata, Hiroki Arimura, Takashi Nishibayashi, Shin-ichi Minato. 897-906 [doi]
• Semi-Supervised Techniques for Mining Learning Outcomes and PrerequisitesIgor Labutov, Yun Huang, Peter Brusilovsky, Daqing He. 907-915 [doi]
• Prospecting the Career Development of Talents: A Survival Analysis PerspectiveHuayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao. 917-925 [doi]
• A Context-aware Attention Network for Interactive Question AnsweringHuayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav. 927-935 [doi]
• Distributed Multi-Task Relationship LearningSulin Liu, Sinno Jialin Pan, Qirong Ho. 937-946 [doi]
• Point-of-Interest Demand Modeling with Human Mobility PatternsYanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong. 947-955 [doi]
• Functional Zone Based Hierarchical Demand Prediction For Bike System ExpansionJunming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong. 957-966 [doi]
• Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data SourcesFenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang. 967-976 [doi]
• Let's See Your Digits: Anomalous-State Detection using Benford's LawSamuel Maurus, Claudia Plant. 977-986 [doi]
• Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series ForecastingGuo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo. 987-995 [doi]
• Automatic Synonym Discovery with Knowledge BasesMeng Qu, Xiang Ren, Jiawei Han 0001. 997-1005 [doi]
• An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard DistanceEdward Raff, Charles Nicholas. 1007-1015 [doi]
• Inferring the Strength of Social Ties: A Community-Driven ApproachPolina Rozenshtein, Nikolaj Tatti, Aristides Gionis. 1017-1025 [doi]
• Detecting Network Effects: Randomizing Over Randomized ExperimentsMartin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi. 1027-1035 [doi]
• When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal NetworksIngo Scholtes. 1037-1046 [doi]
• ReasoNet: Learning to Stop Reading in Machine ComprehensionYelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen. 1047-1055 [doi]
• DenseAlert: Incremental Dense-Subtensor Detection in Tensor StreamsKijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos. 1057-1066 [doi]
• Anomaly Detection in Streams with Extreme Value TheoryAlban Siffer, Pierre-Alain Fouque, Alexandre Termier, Christine Largouët. 1067-1075 [doi]
• Relay-Linking Models for Prominence and Obsolescence in Evolving NetworksMayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti. 1077-1086 [doi]
• k-Medoids Clustering with High Accuracy and EfficiencyHwanjun Song, Jae-Gil Lee 0001, Wook-Shin Han. 1087-1096 [doi]
• Sparse Compositional Local Metric LearningJoseph St. Amand, Jun Huan. 1097-1104 [doi]
• End-to-end Learning for Short Text ExpansionJian Tang, Yue Wang, Kai Zheng 0002, Qiaozhu Mei. 1105-1113 [doi]
• Construction of Directed 2K GraphsBálint Tillman, Athina Markopoulou, Carter T. Butts, Minas Gjoka. 1115-1124 [doi]
• Optimized Risk ScoresBerk Ustun, Cynthia Rudin. 1125-1134 [doi]
• A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town UsersHao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong. 1135-1143 [doi]
• Adversary Resistant Deep Neural Networks with an Application to Malware DetectionQinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles. 1145-1153 [doi]
• Multi-Modality Disease Modeling via Collective Deep Matrix FactorizationQi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou. 1155-1164 [doi]
• Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable ModelsTianyi Wu, Shinya Sugawara, Kenji Yamanishi. 1165-1174 [doi]
• Structural Event Detection from Log MessagesFei Wu, Pranay Anchuri, Zhenhui Li. 1175-1184 [doi]
• Retrospective Higher-Order Markov Processes for User TrailsTao Wu, David F. Gleich. 1185-1194 [doi]
• Privacy-Preserving Distributed Multi-Task Learning with Asynchronous UpdatesLiyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou. 1195-1204 [doi]
• Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration DataZhengming Xing, Sunshine Hillygus, Lawrence Carin. 1205-1214 [doi]
• Convex Factorization Machine for Toxicogenomics PredictionMakoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang. 1215-1224 [doi]
• Distributed Local Outlier Detection in Big DataYizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner. 1225-1234 [doi]
• Scalable Top-n Local Outlier DetectionYizhou Yan, Lei Cao, Elke A. Rundensteiner. 1235-1244 [doi]
• Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI RecommendationCarl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han 0001. 1245-1254 [doi]
• Multi-task Function-on-function Regression with Co-grouping Structured SparsityPei Yang, Qi Tan, Jingrui He. 1255-1264 [doi]
• Learning from Labeled and Unlabeled Vertices in NetworksWei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm. 1265-1274 [doi]
• Small Batch or Large Batch?: Gaussian Walk with Rebound Can TeachPeifeng Yin, Ping Luo, Taiga Nakamura. 1275-1284 [doi]
• Learning from Multiple Teacher NetworksShan You, Chang Xu, Chao Xu 0006, Dacheng Tao. 1285-1294 [doi]
• A Temporally Heterogeneous Survival Framework with Application to Social Behavior DynamicsLinyun Yu, Peng Cui, Chaoming Song, Tianyang Zhang, Shiqiang Yang. 1295-1304 [doi]
• Inductive Semi-supervised Multi-Label Learning with Co-TrainingWang Zhan, Min-Ling Zhang. 1305-1314 [doi]
• LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for MultimorbidityYutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun. 1315-1324 [doi]
• Visualizing Attributed Graphs via Terrain MetaphorYang Zhang, Yusu Wang, Srinivasan Parthasarathy. 1325-1334 [doi]
• Achieving Non-Discrimination in Data ReleaseLu Zhang, Yongkai Wu, Xintao Wu. 1335-1344 [doi]
• Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large ScaleAdrian Albert, Jasleen Kaur, Marta C. Gonzalez. 1357-1366 [doi]
• Luck is Hard to Beat: The Difficulty of Sports PredictionRaquel Y. S. Aoki, Renato Martins Assunção, Pedro O. S. Vaz de Melo. 1367-1376 [doi]
• Planning Bike Lanes based on Sharing-Bikes' TrajectoriesJie Bao, Tianfu He, Sijie Ruan, Yanhua Li, Yu Zheng. 1377-1386 [doi]
• TFX: A TensorFlow-Based Production-Scale Machine Learning PlatformDenis Baylor, Eric Breck, Heng Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu-Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy 0002, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich. 1387-1395 [doi]
• LiJAR: A System for Job Application Redistribution towards Efficient Career MarketplaceFedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi. 1397-1406 [doi]
• A Data Science Approach to Understanding Residential Water Contamination in FlintAlex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob D. Abernethy, Eric Schwartz. 1407-1416 [doi]
• Estimation of Recent Ancestral Origins of Individuals on a Large ScaleRoss E. Curtis, Ahna R. Girshick. 1417-1425 [doi]
• A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled ExperimentsPavel Dmitriev, Somit Gupta, Dong-Woo Kim, Garnet J. Vaz. 1427-1436 [doi]
• A Century of Science: Globalization of Scientific Collaborations, Citations, and InnovationsYuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang. 1437-1446 [doi]
• FIRST: Fast Interactive Attributed Subgraph MatchingBoxin Du, Si Zhang, Nan Cao, Hanghang Tong. 1447-1456 [doi]
• Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task LearningSaba Emrani, Anya McGuirk, Wei Xiao. 1457-1466 [doi]
• A Data Mining Framework for Valuing Large Portfolios of Variable AnnuitiesGuojun Gan, Jimmy Xiangji Huang. 1467-1475 [doi]
• GELL: Automatic Extraction of Epidemiological Line Lists from Open SourcesSaurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan. 1477-1485 [doi]
• Google Vizier: A Service for Black-Box OptimizationDaniel Golovin, Benjamin Solnik, Subhodeep Moitra, Greg Kochanski, John Karro, D. Sculley. 1487-1495 [doi]
• Predicting Clinical Outcomes Across Changing Electronic Health Record SystemsJen J. Gong, Tristan Naumann, Peter Szolovits, John V. Guttag. 1497-1505 [doi]
• HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information NetworkShifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu. 1507-1515 [doi]
• Peeking at A/B Tests: Why it matters, and what to do about itRamesh Johari, Pete Koomen, Leonid Pekelis, David Walsh. 1517-1525 [doi]
• PNP: Fast Path Ensemble Method for Movie DesignDanai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot. 1527-1536 [doi]
• Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational DataZhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page. 1537-1546 [doi]
• FLAP: An End-to-End Event Log Analysis Platform for System ManagementTao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Wentao Wang, Liang Zhang, Jun Wu, Li Xue, Dewei Bao. 1547-1556 [doi]
• Cascade Ranking for Operational E-commerce SearchShichen Liu, Fei Xiao, Wenwu Ou, Luo Si. 1557-1565 [doi]
• Developing a Comprehensive Framework for Multimodal Feature ExtractionQuinten McNamara, Alejandro de la Vega, Tal Yarkoni. 1567-1574 [doi]
• Deep Choice Model Using Pointer Networks for Airline Itinerary PredictionAlejandro Mottini, Rodrigo Acuna-Agost. 1575-1583 [doi]
• Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says!Debjyoti Paul, Feifei Li, Murali Krishna Teja, Xin Yu, Richie Frost. 1585-1594 [doi]
• Backpage and Bitcoin: Uncovering Human TraffickersRebecca S. Portnoff, Danny Yuxing Huang, Periwinkle Doerfler, Sadia Afroz, Damon McCoy. 1595-1604 [doi]
• Not All Passes Are Created Equal: Objectively Measuring the Risk and Reward of Passes in Soccer from Tracking DataPaul Power, Héctor Ruiz, Xinyu Wei, Patrick Lucey. 1605-1613 [doi]
• MARAS: Signaling Multi-Drug Adverse ReactionsXiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao. 1615-1623 [doi]
• A Practical Exploration System for Search AdvertisingParikshit Shah, Ming Yang, Sachidanand Alle, Adwait Ratnaparkhi, Ben Shahshahani, Rohit Chandra. 1625-1631 [doi]
• MOLIERE: Automatic Biomedical Hypothesis Generation SystemJustin Sybrandt, Michael Shtutman, Ilya Safro. 1633-1642 [doi]
• Quick Access: Building a Smart Experience for Google DriveSandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan. 1643-1651 [doi]
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