Abstract is missing.
- Using a Random Forest to Inspire a Neural Network and Improving on ItSuhang Wang, Charu C. Aggarwal, Huan Liu. 1-9 [doi]
- Front Matter1-10 [doi]
- Pruning Decision Trees via Max-Heap ProjectionZhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye. 10-18 [doi]
- Margin Distribution Logistic MachineYi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang. 19-27 [doi]
- Active Learning of Classification Models with Likert-Scale FeedbackYanbing Xue, Milos Hauskrecht. 28-35 [doi]
- Risk Clearance with Guaranteed PrecisionRyan McBride, Ke Wang, Viswanadh Nekkanti, Wenyuan Li. 36-44 [doi]
- Computational Drug Discovery with Dyadic Positive-Unlabeled LearningYashu Liu 0001, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang 0001, Guoliang Xue, Jieping Ye. 45-53 [doi]
- Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brainsMuhammad Yousefnezhad, Daoqiang Zhang. 54-62 [doi]
- ALPINE: Progressive Itemset Mining with Definite GuaranteesQiong Hu, Tomasz Imielinski. 63-71 [doi]
- Polyadic Regression and its Application to ChemogenomicsIoakeim Perros, Fei Wang 0001, Ping Zhang, Peter Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun. 72-80 [doi]
- Active Learning of Functional Networks from Spike TrainsHonglei Liu, Bian Wu. 81-89 [doi]
- Outlier Detection with Autoencoder EnsemblesJinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga. 90-98 [doi]
- Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social MediaLiang Wu, Jundong Li, Xia Hu, Huan Liu. 99-107 [doi]
- VolTime: Unsupervised Anomaly Detection on Users' Online Activity VolumeDaniel Y. T. Chino, Alceu Ferraz Costa, Agma J. M. Traina, Christos Faloutsos. 108-116 [doi]
- Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained ClassificationHouping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga. 117-125 [doi]
- Efficiently Discovering Unexpected Pattern-Co-OccurrencesRoel Bertens, Jilles Vreeken, Arno Siebes. 126-134 [doi]
- Time-Aware Subscription Prediction Model for User Acquisition in Digital News MediaHeidar Davoudi, Morteza ZiHayat, Aijun An. 135-143 [doi]
- The Power of Certainty: A Dirichlet-Multinomial Model for Belief PropagationDhivya Eswaran, Stephan Günnemann, Christos Faloutsos. 144-152 [doi]
- From Theory to Practice: Efficient Active Cost-sensitive Classification with Expected Error ReductionYexun Zhang, Yanfeng Wang, Wenbin Cai, Siyuan Zhou, Ya Zhang. 153-161 [doi]
- Generalized Inverse ClassificationMichael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey W. Ohlmann. 162-170 [doi]
- Predict Land Covers with Transition Modeling and Incremental LearningXiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul West, Vipin Kumar. 171-179 [doi]
- Unified and Contrasting Graphical Lasso for Brain Network DiscoveryXinyue Liu, Xiangnan Kong, Ann B. Ragin. 180-188 [doi]
- t-BNE: Tensor-based Brain Network EmbeddingBokai Cao, LiFang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow. 189-197 [doi]
- An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's DiseaseChao Che, Cao Xiao, Jian Liang, Bo Jin 0001, Jiayu Zho, Fei Wang 0001. 198-206 [doi]
- Clustering with Domain-Specific Usefulness ScoresYale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy. 207-215 [doi]
- BrainZoom: High Resolution Reconstruction from Multi-modal Brain SignalsXiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas Sidiropoulo, Christos Faloutsos, Barnabás Póczos. 216-227 [doi]
- Uncovering Group Level Insights with Accordant ClusteringAmit Dhurandhar, Margareta Ackerman, Xiang Wang. 228-236 [doi]
- A Method to Accelerate Human in the Loop ClusteringAnni Coden, Marina Danilevsky, Daniel Gruhl, Linda Kato, Meena Nagarajan. 237-245 [doi]
- Model-based von Mises-Fisher Co-clustering with a ConscienceAghiles Salah, Mohamed Nadif. 246-254 [doi]
- Targeted matrix completionNatali Ruchansky, Mark Crovella, Evimaria Terzi. 255-263 [doi]
- Active Positive-Definite Matrix CompletionCharalampos Mavroforakis, Dóra Erdös, Mark Crovella, Evimaria Terzi. 264-272 [doi]
- Multi-core K-meansChristian Böhm, Martin Perdacher, Claudia Plant. 273-281 [doi]
- Indexing and classifying gigabytes of time series under time warpingChang Wei Tan, Geoffrey I. Webb, François Petitjean. 282-290 [doi]
- A Sparse Nonlinear Classifier Design Using AUC OptimizationVishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg. 291-299 [doi]
- kRyan R. Curtin. 300-308 [doi]
- Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule miningWilhelmiina Hämäläinen, Geoffrey I. Webb. 309-317 [doi]
- MeiKe: Influence-based Communities in NetworksYao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash. 318-326 [doi]
- Signed Network Embedding in Social MediaSuhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu. 327-335 [doi]
- Finding low-tension communitiesEsther Galbrun, Behzad Golshan, Aristides Gionis, Evimaria Terzi. 336-344 [doi]
- Sensitivity of Community Structure to Network UncertaintyMarc Mitri, Fragkiskos D. Malliaros, Michalis Vazirgiannis. 345-353 [doi]
- Subnetwork Mining with Spatial and Temporal SmoothnessXuan Hong Dang, Hongyuan You, Ambuj K. Singh, Scott T. Grafton. 354-362 [doi]
- Selection of Negative Samples for One-class Matrix FactorizationHsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin. 363-371 [doi]
- HBGG: a Hierarchical Bayesian Geographical Model for Group RecommendationZiyu Lu, Hui Li, Nikos Mamoulis, David W. Cheung. 372-380 [doi]
- Collaborative User Network Embedding for Social Recommender SystemsChuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang. 381-389 [doi]
- Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews DatasetsDaniel Basaran, Eirini Ntoutsi, Arthur Zimek. 390-398 [doi]
- Price Recommendation on Vacation Rental WebsitesYang Li, Suhang Wang, Tao Yang, Quan Pan, Jiliang Tang. 399-407 [doi]
- Ranking in Heterogeneous Networks with Geo-Location InformationAbhinav Mishra, Leman Akoglu. 408-416 [doi]
- Condensing Temporal Networks using PropagationBijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash. 417-425 [doi]
- Community-aware network sparsificationAristides Gionis, Polina Rozenshtein, Nikolaj Tatti, Evimaria Terzi. 426-434 [doi]
- Graph-based semi-supervised learning for relational networksLeto Peel. 435-443 [doi]
- Toward Personalized Relational LearningJundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu. 444-452 [doi]
- Biclustering: An application of Dual Topic ModelsDaniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy. 453-461 [doi]
- A Graduated Non-Convexity Relaxation for Large Scale SeriationXenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas. 462-470 [doi]
- User-guided Cross-domain Sentiment ClassificationArun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He. 471-479 [doi]
- Exploring Latent Semantic Factors to Find Useful Product ReviewsSubhabrata Mukherjee, Kashyap Popat, Gerhard Weikum. 480-488 [doi]
- Outlier Detection for Text DataRamakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park. 489-497 [doi]
- ROFLMAO: Robust Oblique Forests with Linear MAtrix OperationsTyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein. 498-506 [doi]
- Exploiting Hierarchical Structures for Unsupervised Feature SelectionSuhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu. 507-515 [doi]
- Embedded Supervised Feature Selection for Multi-class DataLin Chen 0010, Jiliang Tang, Baoxin Li. 516-524 [doi]
- Correlation by CompressionKailash Budhathoki, Jilles Vreeken. 525-533 [doi]
- A Deflation Method for Structured Probabilistic PCARajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo. 534-542 [doi]
- Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network AnalysisJohn Boaz Lee, Xiangnan Kong, Yihan Bao, Constance M. Moore. 543-551 [doi]
- Cumulative Knowledge-based Regression Models for Next-term Grade PredictionSara Morsy, George Karypis. 552-560 [doi]
- BreachRadar: Automatic Detection of Points-of-CompromiseMiguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro. 561-569 [doi]
- HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud DetectionSi Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong. 570-578 [doi]
- 2: an Optimization Framework for Learning from Task and Worker Dual HeterogeneityYao Zhou, Lei Ying, Jingrui He. 579-587 [doi]
- Uplift Modeling with Multiple Treatments and General Response TypesYan Zhao, Xiao Fang, David Simchi-Levi. 588-596 [doi]
- FACETS: Adaptive Local Exploration of Large GraphsRobert Pienta, Minsuk Kahng, Zhiyuan Lin 0001, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau. 597-605 [doi]
- Absenteeism Detection in Social MediaFang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan. 606-614 [doi]
- Multimodal Network AlignmentHuda Nassar, David F. Gleich. 615-623 [doi]
- Near-Optimal and Practical Algorithms for Graph Scan StatisticsJose Cadena, Feng Chen, Anil Vullikanti. 624-632 [doi]
- Accelerated Attributed Network EmbeddingXiao Huang, Jundong Li, Xia Hu. 633-641 [doi]
- Meta-Path Graphical Lasso for Learning Heterogeneous ConnectivitiesYao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu. 642-650 [doi]
- ℓ-diversityKoray Mancuhan, Chris Clifton. 651-659 [doi]
- Private and Right-Protected Big Data Publication: An AnalysisReinhard Heckel, Michail Vlachos. 660-668 [doi]
- Differentially Private Rank AggregationMichael Hay, Liudmila Elagina, Gerome Miklau. 669-677 [doi]
- Hash-Based Feature Learning for Incomplete Continuous-Valued DataShuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, C. Emi Fergus, Nicholas K. Skaff, Patricia A. Soranno. 678-686 [doi]
- Multi-Task Multiple Kernel Relationship LearningKeerthiram Murugesan, Jaime G. Carbonell. 687-695 [doi]
- Multivariate Confidence IntervalsJussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen. 696-704 [doi]
- A Fast Trust-Region Newton Method for Softmax Logistic RegressionNayyar A. Zaidi, Geoffrey I. Webb. 705-713 [doi]
- Learning from Multi-Modality Multi-Resolution Data: an Optimization ApproachYada Zhu, Jianbo Li, Jingrui He. 714-722 [doi]
- Sparse Graphical Modeling via Stochastic ComplexityKohei Miyaguchi, Shin Matsushima, Kenji Yamanishi. 723-731 [doi]
- Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk MinimizationChing-Pei Lee, Po-Wei Wang, Weizhu Chen, Chih-Jen Lin. 732-740 [doi]
- Automatic Frankensteining: Creating Complex Ensembles AutonomouslyMartin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme. 741-749 [doi]
- Error Metrics for Learning Reliable Manifolds from Streaming DataFrank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola. 750-758 [doi]
- CSTG: An Effective Framework for Cost-sensitive Sparse Online LearningZhong Chen, Zhide Fang, Wei Fan, Andrea Edwards, Kun Zhang. 759-767 [doi]
- Concept Drift Detection with Hierarchical Hypothesis TestingShujian Yu, Zubin Abraham. 768-776 [doi]
- Deep Learning: A Generic Approach for Extreme Condition Traffic ForecastingRose Yu, Yaguang Li, Cyrus Shahabi, Ugur Demiryurek, Yan Liu. 777-785 [doi]
- H-Fuse: Efficient Fusion of Aggregated Historical DataZongge Liu, Hyun Ah Song, Vladimir Zadorozhny, Christos Faloutsos, Nicholas D. Sidiropoulos. 786-794 [doi]
- Efficiently Summarising Event Sequences with Rich Interleaving PatternsApratim Bhattacharyya, Jilles Vreeken. 795-803 [doi]
- Discovery of Causal Time IntervalsZhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux. 804-812 [doi]
- Robust Map Matching for Heterogeneous Data via Dominance DecompositionsMartin P. Seybold. 813-821 [doi]
- Uncovering the Spatiotemporal Patterns of Collective Social ActivityMartin Jankowiak, Manuel Gomez-Rodriguez. 822-830 [doi]
- Discovering bursts revisited: guaranteed optimization of the model parametersNikolaj Tatti. 831-839 [doi]
- Back Matter840-847 [doi]