Abstract is missing.
- Detecting and Tracking Coordinated Groups in Dense, Systematically Moving, CrowdsJames Rosswog, Kanad Ghose. 1-11 [doi]
- Large-Scale Nonparametric Estimation of Vehicle Travel Time DistributionsRikiya Takahashi, Takayuki Osogami, Tetsuro Morimura. 12-23 [doi]
- Drought Detection of the Last Century: An MRF-based ApproachQiang Fu, Arindam Banerjee, Stefan Liess, Peter K. Snyder. 24-34 [doi]
- Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel RainfallSaurabh V. Pendse, Isaac K. Tetteh, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova. 35-46 [doi]
- Sparse Group Lasso: Consistency and Climate ApplicationsSoumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly. 47-58 [doi]
- The Multi-Set Stream Clustering ProblemCharu C. Aggarwal. 59-69 [doi]
- Stratification Based Hierarchical Clustering Over a Deep Web Data SourceTantan Liu, Gagan Agrawal. 70-81 [doi]
- Cluster-Aware Compression with Provable K-means PreservationNikolaos M. Freris, Michail Vlachos, Deepak S. Turaga. 82-93 [doi]
- Supervised Clustering of Label Ranking DataMihajlo Grbovic, Nemanja Djuric, Slobodan Vucetic. 94-105 [doi]
- Symmetric Nonnegative Matrix Factorization for Graph ClusteringDa Kuang, Haesun Park, Chris H. Q. Ding. 106-117 [doi]
- Feature Selection with Linked Data in Social MediaJiliang Tang, Huan Liu. 118-128 [doi]
- Microscopic Social InfluenceTing Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling Liu. 129-140 [doi]
- HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query SearchXutao Li, Michael K. Ng, Yunming Ye. 141-152 [doi]
- Evaluating Event Credibility on TwitterManish Gupta, Peixiang Zhao, Jiawei Han. 153-164 [doi]
- Multi-skill Collaborative Teams based on Densest SubgraphsAmita Gajewar, Atish Das Sarma. 165-176 [doi]
- Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional ScalingJaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park. 177-188 [doi]
- Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian PyramidsNeta Rabin, Ronald R. Coifman. 189-199 [doi]
- A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data SourcesSunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh. 200-211 [doi]
- Adaptive Multi-task Sparse Learning with an Application to fMRI StudyXi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell. 212-223 [doi]
- Learning from Heterogeneous Sources via Gradient Boosting ConsensusXiaoxiao Shi, Jean-François Paiement, David Grangier, Philip S. Yu. 224-235 [doi]
- Slim: Directly Mining Descriptive PatternsKoen Smets, Jilles Vreeken. 236-247 [doi]
- MARBLES: Mining Association Rules Buried in Long Event SequencesBoris Cule, Nikolaj Tatti, Bart Goethals. 248-259 [doi]
- Mining Patterns in Networks using HomomorphismAnton Dries, Siegfried Nijssen. 260-271 [doi]
- Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based ClusteringJana Schmidt, Sonja Ansorge, Stefan Kramer. 272-283 [doi]
- Class Relevant Pattern Mining in Output-Polynomial TimeHenrik Grosskreutz. 284-294 [doi]
- Simplex Distributions for Embedding Data Matrices over TimeKristian Kersting, Mirwaes Wahabzada, Christoph Römer, Christian Thurau, Agim Ballvora, Uwe Rascher, Jens Leon, Christian Bauckhage, Lutz Plümer. 295-306 [doi]
- Transformation Based Ensembles for Time Series ClassificationAnthony Bagnall, Luke M. Davis, Jon Hills, Jason Lines. 307-318 [doi]
- Mining Compressing Sequential PatternsHoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders. 319-330 [doi]
- Beam Methods for the Profile Hidden Markov ModelSamuel J. Blasiak, Huzefa Rangwala, Kathryn B. Laskey. 331-342 [doi]
- Optimal Distance Estimation Between Compressed Data SeriesNikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat. 343-354 [doi]
- Multi-Objective Multi-Label ClassificationChuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang. 355-366 [doi]
- Bayesian Supervised Multilabel Learning with Coupled Embedding and ClassificationMehmet Gönen. 367-378 [doi]
- Subtree Replacement in Decision Tree SimplificationSalvatore Ruggieri. 379-390 [doi]
- A Distributed Kernel Summation Framework for General-Dimension Machine LearningDongryeol Lee, Richard W. Vuduc, Alexander G. Gray. 391-402 [doi]
- Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side InformationTinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guillermo Sapiro. 403-414 [doi]
- On Dynamic Link Inference in Heterogeneous NetworksCharu C. Aggarwal, Yan Xie, Philip S. Yu. 415-426 [doi]
- A Framework for the Evaluation and Management of Network CentralityVatche Ishakian, Dóra Erdös, Evimaria Terzi, Azer Bestavros. 427-438 [doi]
- PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed GraphsLeman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos. 439-450 [doi]
- Structural Analysis in Multi-Relational Social NetworksBing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim. 451-462 [doi]
- Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold ModelXinran He, Guojie Song, Wei Chen, Qingye Jiang. 463-474 [doi]
- Feature Selection over Distributed Data Streams through Convex OptimizationJacob Kogan. 475-484 [doi]
- Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly UngeneralizableGeorge Forman. 485-493 [doi]
- Sampling Strategies to Evaluate the Performance of Unknown PredictorsHamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht. 494-505 [doi]
- A Bayesian Markov-switching Model for Sparse Dynamic Network EstimationHuijing Jiang, Aurelie C. Lozano, Fei Liu. 506-515 [doi]
- Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and LinksChi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin, Heng Ji. 516-527 [doi]
- Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous SpacesGuo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang. 528-539 [doi]
- Dual Transfer LearningMingsheng Long, Jianmin Wang 0001, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang. 540-551 [doi]
- Transfer Significant Subgraphs across Graph DatabasesXiaoxiao Shi, Xiangnan Kong, Philip S. Yu. 552-563 [doi]
- Transfer Topic Modeling with Ease and ScalabilityJeon-Hyung Kang, Jun Ma, Yang Liu. 564-575 [doi]
- SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare ApplicationsDijun Luo, Fei Wang 0001, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi. 576-587 [doi]
- Mining Massive Archives of Mice Sounds with Symbolized RepresentationsJesin Zakaria, Sarah Rotschafer, Abdullah Mueen, Khaleel Razak, Eamonn J. Keogh. 588-599 [doi]
- IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical SystemsLu-An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thomas F. La Porta, Alice Leung, Tarek F. Abdelzaher, Lance M. Kaplan. 600-611 [doi]
- Robust Reputation-Based Ranking on Bipartite Rating NetworksRong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng. 612-623 [doi]
- Event Detection in Social StreamsCharu C. Aggarwal, Karthik Subbian. 624-635 [doi]
- On Influential Node Discovery in Dynamic Social NetworksCharu C. Aggarwal, Shuyang Lin, Philip S. Yu. 636-647 [doi]
- Query-based Biclustering using Formal Concept AnalysisFaris Alqadah, Joel S. Bader, Rajul Anand, Chandan K. Reddy. 648-659 [doi]
- Granger Causality Analysis in Irregular Time SeriesMohammad Taha Bahadori, Yan Liu. 660-671 [doi]
- Clustering Based on Yukawa PotentialXue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu. 672-683 [doi]
- Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical StudyChristian Thurau, Kristian Kersting, Christian Bauckhage. 684-695 [doi]
- Combining Active Learning and Dynamic Dimensionality ReductionMustafa Bilgic. 696-707 [doi]
- Context-aware Search for Personal Information Management SystemsJidong Chen, Wentao Wu, Hang Guo, Wei Wang 0009. 708-719 [doi]
- Mining Social Dependencies in Dynamic Interaction NetworksFreddy Chong Tat Chua, Hady Wirawan Lauw, Ee-Peng Lim. 720-731 [doi]
- Detecting Irregularly Shaped Significant Spatial and Spatio-Temporal ClustersWeishan Dong, Xin Zhang, Li Li, Changhua Sun, Lei Shi, Wei Sun 0001. 732-743 [doi]
- Contextual Collaborative Filtering via Hierarchical Matrix FactorizationErHeng Zhong, Wei Fan, Qiang Yang. 744-755 [doi]
- Active Learning with Monotonicity ConstraintsNicola Barile, Ad Feelders. 756-767 [doi]
- Pseudo Cold Start Link Prediction with Multiple Sources in Social NetworksLiang Ge, Aidong Zhang. 768-779 [doi]
- Discovering Context-aware Influential ObjectsYangpai Liu, Huiping Cao, Yifan Hao, Peng Han, Xinda Zeng. 780-791 [doi]
- Monitoring and Mining Insect Sounds in Visual SpaceYuan-Hao, Bilson J. L. Campana, Eamonn J. Keogh. 792-803 [doi]
- Image Mining of Historical Manuscripts to Establish ProvenanceBing Hu 0001, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh. 804-815 [doi]
- RP-growth: Top-k Mining of Relevant Patterns with Minimum Support RaisingYoshitaka Kameya, Taisuke Sato. 816-827 [doi]
- Fast Random Walk Graph KernelU. Kang, Hanghang Tong, Jimeng Sun. 828-838 [doi]
- Tracking Spatio-Temporal Diffusion in Climate DataJaya Kawale, Aditya Pal, Rob Fatland. 839-850 [doi]
- Group Sparsity in Nonnegative Matrix FactorizationJingu Kim, Renato Monteiro, Haesun Park. 851-862 [doi]
- Global Linear Neighborhoods for Efficient Label PropagationZe Tian, Rui Kuang. 863-872 [doi]
- Generalized Similarity Kernels for Efficient Sequence ClassificationPavel P. Kuksa, Imdadullah Khan, Vladimir Pavlovic. 873-882 [doi]
- Detecting Extreme Rank Anomalous CollectionsHanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang. 883-894 [doi]
- Visualizing Variable-Length Time Series MotifsYuan Li, Jessica Lin 0001, Tim Oates. 895-906 [doi]
- Which Distance Metric is Right: An Evolutionary K-Means ViewChuanren Liu, Tianming Hu, Yong Ge, Hui Xiong. 907-918 [doi]
- Constructing Training Sets for Outlier DetectionLi-Ping Liu, Xiaoli Fern. 919-929 [doi]
- A Flexible Open-Source Toolbox for Scalable Complex Graph AnalysisAdam Lugowski, David M. Alber, Aydin Buluç, John R. Gilbert, Steve Reinhardt, Yun Teng, Andrew Waranis. 930-941 [doi]
- Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly DetectionFragkiskos D. Malliaros, Vasileios Megalooikonomou, Christos Faloutsos. 942-953 [doi]
- On Finding Joint Subspace Boolean Matrix FactorizationsPauli Miettinen. 954-965 [doi]
- Generalized Optimization Framework for Graph-based Semi-supervised LearningMarina Sokol, Konstantin Avrachenkov, Paulo Gonçalves, Alexey Mishenin. 966-974 [doi]
- A Tree-Based Kernel for GraphsGiovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti. 975-986 [doi]
- Density-based Projected Clustering over High Dimensional Data StreamsIrene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel. 987-998 [doi]
- A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series DatasetsQiang Zhu 0002, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh. 999-1010 [doi]
- Nearest-Neighbor Search on a Time Budget via Max-Margin TreesParikshit Ram, Dongryeol Lee, Alexander G. Gray. 1011-1022 [doi]
- Efficient Clustering of Metagenomic Sequences using Locality Sensitive HashingZeehasham Rasheed, Huzefa Rangwala, Daniel Barbará. 1023-1034 [doi]
- Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference DataNicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco. 1035-1046 [doi]
- On Evaluation of Outlier Rankings and Outlier ScoresErich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel. 1047-1058 [doi]
- Regularized Structured Output Learning with Partial LabelsSundararajan Sellamanickam, Charu Tiwari, Sathiya Keerthi Selvaraj. 1059-1070 [doi]
- The Similarity Between Stochastic Kronecker and Chung-Lu Graph ModelsC. Seshadhri, Ali Pinar, Tamara G. Kolda. 1071-1082 [doi]
- WIGM: Discovery of Subgraph Patterns in a Large Weighted GraphJiong Yang, Wei Su, Shirong Li, Mehmet M. Dalkiliç. 1083-1094 [doi]
- Legislative Prediction via Random Walks over a Heterogeneous GraphJun Wang 0006, Kush R. Varshney, Aleksandra Mojsilovic. 1095-1106 [doi]
- An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in CrowdsourcingSihong Xie, Wei Fan, Philip S. Yu. 1107-1118 [doi]
- Citation Prediction in Heterogeneous Bibliographic NetworksXiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han. 1119-1130 [doi]
- Mining Multi-Label Data Streams Using Ensemble-Based Active LearningPeng Wang, Peng Zhang, Li Guo. 1131-1140 [doi]
- Feature Selection for High-dimensional Integrated DataCharles Zheng, Scott Schwartz, Robert S. Chapkin, Raymond J. Carroll, Ivan Ivanov. 1141-1150 [doi]