Abstract is missing.
- Front Matter [doi]
- Functional Node Detection on Linked DataKang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang. 1-9 [doi]
- Where Graph Topology Matters: The Robust Subgraph ProblemHau Chan, Shuchu Han, Leman Akoglu. 10-18 [doi]
- Same bang, fewer bucks: efficient discovery of the cost-influence skylineMatthijs van Leeuwen, Antti Ukkonen. 19-27 [doi]
- Selecting Shortcuts for a Smaller WorldNikos Parotsidis, Evaggelia Pitoura, Panayiotis Tsaparas. 28-36 [doi]
- Significant Subgraph Mining with Multiple Testing CorrectionMahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt. 37-45 [doi]
- From Categorical to Numerical: Multiple Transitive Distance Learning and EmbeddingKai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang. 46-54 [doi]
- Spectral Embedding of Signed NetworksQuan Zheng 0001, David B. Skillicorn. 55-63 [doi]
- An LLE based Heterogeneous Metric Learning for Cross-media RetrievalPeng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen. 64-72 [doi]
- Feature Selection for Nonlinear Regression and its Application to Cancer ResearchYijun Sun, Jin Yao, Steve Goodison. 73-81 [doi]
- Efficient Partial Order Preserving Unsupervised Feature Selection on NetworksXiaokai Wei, Sihong Xie, Philip S. Yu. 82-90 [doi]
- NetCodec: Community Detection from Individual ActivitiesLong Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha. 91-99 [doi]
- Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed GraphsPatricia Iglesias Sanchez, Emmanuel Müller, Uwe Leo Korn, Klemens Böhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner. 100-108 [doi]
- Vertex Clustering of Augmented Graph StreamsRyan McConville, Weiru Liu, Paul C. Miller. 109-117 [doi]
- Tensor Spectral Clustering for Partitioning Higher-order Network StructuresAustin R. Benson, David F. Gleich, Jure Leskovec. 118-126 [doi]
- Community Detection for Emerging NetworksJiawei Zhang, Philip S. Yu. 127-135 [doi]
- Labeling Educational Content with Academic Learning StandardsDanish Contractor, Kashyap Popat, Shajith Ikbal, Sumit Negi, Bikram Sengupta, Mukesh K. Mohania. 136-144 [doi]
- Data mining for real mining: A robust algorithm for prospectivity mapping with uncertaintiesJustin Granek, Eldad Haber. 145-153 [doi]
- Product Adoption Rate Prediction: A Multi-factor ViewLe Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan. 154-162 [doi]
- PatentCom: A Comparative View of Patent Document RetrievalLonghui Zhang, Lei Li, Chao Shen, Tao Li. 163-171 [doi]
- Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise FeaturesChang Xu, Jie Zhang. 172-180 [doi]
- A Bayesian Framework for Modeling Human EvaluationsHimabindu Lakkaraju, Jure Leskovec, Jon M. Kleinberg, Sendhil Mullainathan. 181-189 [doi]
- n Item RecommendationMohit Sharma, Jiayu Zhou, Junling Hu, George Karypis. 190-198 [doi]
- Cross-Modal Retrieval: A Pairwise Classification ApproachAditya Krishna Menon, Didi Surian, Sanjay Chawla. 199-207 [doi]
- Binary Classifier Calibration Using a Bayesian Non-Parametric ApproachMahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht. 208-216 [doi]
- Semi-supervised learning for structured regression on partially observed attributed graphsJelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic. 217-225 [doi]
- Health Insurance Market Risk Assessment: Covariate Shift and k-AnonymityDennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney. 226-234 [doi]
- Attacking DBSCAN for Fun and ProfitJonathan Crussell, W. Philip Kegelmeyer. 235-243 [doi]
- Result Integrity Verification of Outsourced Privacy-preserving Frequent Itemset MiningRuilin Liu, Wendy Hui Wang. 244-252 [doi]
- Modeling Users' Adoption Behaviors with Social Selection and InfluenceZiqi Liu, Fei Wang, Qinghua Zheng. 253-261 [doi]
- Exploring the Impact of Dynamic Mutual Influence on Social Event ParticipationTong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu. 262-270 [doi]
- Efficient Online Relative Comparison Kernel LearningEric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht. 271-279 [doi]
- Cheetah: Fast Graph Kernel Tracking on Dynamic GraphsLiangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan. 280-288 [doi]
- On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional CaseMohammad Shokoohi-Yekta, Jun Wang, Eamonn J. Keogh. 289-297 [doi]
- Fast Mining of a Network of Coevolving Time SeriesYongjie Cai, Hanghang Tong, Wei Fan, Ping Ji. 298-306 [doi]
- Shapelet Ensemble for Multi-dimensional Time SeriesMustafa S. Çetin, Abdullah Mueen, Vince D. Calhoun. 307-315 [doi]
- Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite MatricesYifan Fu, Junbin Gao, Xia Hong, David Tien. 316-324 [doi]
- Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix FactorizationSanjar Karaev, Pauli Miettinen, Jilles Vreeken. 325-333 [doi]
- Convex Matrix Completion: A Trace-Ball Optimization PerspectiveGuangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu. 334-342 [doi]
- 1 and Bregman Loss FunctionsAbhishek Kumar 0001, Vikas Sindhwani. 343-351 [doi]
- Personalized TV Recommendation with Mixture Probabilistic Matrix FactorizationHuayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge. 352-360 [doi]
- Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous InformationYu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary. 361-369 [doi]
- PLUMS: Predicting Links Using Multiple SourcesKarthik Subbian, Arindam Banerjee, Sugato Basu. 370-378 [doi]
- SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data SourcesTheodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan. 379-387 [doi]
- GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked DataJialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han. 388-396 [doi]
- Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source DataHouping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga. 397-405 [doi]
- Rare Class Detection in NetworksKarthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar. 406-414 [doi]
- Hidden Hazards: Finding Missing Nodes in Large Graph EpidemicsShashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash. 415-423 [doi]
- Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson ModelJunxiang Chen, Wei Dai, Yizhou Sun, Jennifer Dy. 424-432 [doi]
- A Divide-and-Conquer Algorithm for Betweenness CentralityDóra Erdös, Vatche Ishakian, Azer Bestavros, Evimaria Terzi. 433-441 [doi]
- Frameworks to Encode User Preferences for Inferring Topic-sensitive Information NetworksQingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu. 442-450 [doi]
- Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse GraphsShuangfei Zhai, Zhongfei (Mark) Zhang. 451-459 [doi]
- An ADMM Algorithm for Clustering Partially Observed NetworksNecdet Serhat Aybat, Sahar Zarmehri, Soundar Kumara. 460-468 [doi]
- Scaling log-linear analysis to datasets with thousands of variablesFrançois Petitjean, Geoffrey I. Webb. 469-477 [doi]
- A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse LearningAurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha. 478-486 [doi]
- Exceptional Model Mining with Tree-Constrained Gradient AscentThomas E. Krak, Ad Feelders. 487-495 [doi]
- FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical modelsJianpeng Xu, Jiayu Zhou, Pang-Ning Tan. 496-504 [doi]
- Active Multi-task Learning via BanditsMeng Fang, Dacheng Tao. 505-513 [doi]
- Hierarchical Active Transfer LearningDavid C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu. 514-522 [doi]
- Learning Complex Rare Categories with Dual HeterogeneityPei Yang, Jingrui He, Jia-Yu Pan. 523-531 [doi]
- Faster Jobs in Distributed Data Processing using Multi-Task LearningNeeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy H. Katz. 532-540 [doi]
- Selecting Social Media Responses to News: A Convex Framework Based On Data ReconstructionZaiyi Chen, Linli Xu, Enhong Chen, Biao Chang, Zhefeng Wang, Yitan Li. 541-549 [doi]
- Tracking Events Using Time-dependent Hierarchical Dirichlet Tree ModelRumeng Li, Tao Wang, Xun Wang. 550-558 [doi]
- Fast Eigen-Functions Tracking on Dynamic GraphsChen Chen, Hanghang Tong. 559-567 [doi]
- Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic SpreadSudip Saha, Abhijin Adiga, B. Aditya Prakash, Anil Kumar S. Vullikanti. 568-576 [doi]
- Propagation-based Sentiment Analysis for Microblogging DataJiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu. 577-585 [doi]
- POLYGLOT-NER: Massive Multilingual Named Entity RecognitionRami Al-Rfou', Vivek Kulkarni, Bryan Perozzi, Steven Skiena. 586-594 [doi]
- Online Resource Allocation with Structured DiversificationNicholas Johnson, Arindam Banerjee. 595-603 [doi]
- Towards Permission Request Prediction on Mobile Apps via Structure Feature LearningDeguang Kong, Hongxia Jin. 604-612 [doi]
- On Influential Nodes Tracking in Dynamic Social NetworksXiaodong Chen, Guojie Song, Xinran He, Kunqing Xie. 613-621 [doi]
- Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal GraphsShebuti Rayana, Leman Akoglu. 622-630 [doi]
- Principled Neuro-Functional Connectivity DiscoveryKejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell. 631-639 [doi]
- Estimating Ad Impact on Clicker Conversions for Causal Attribution: A Potential Outcomes ApproachJoel Barajas, Ram Akella, Aaron Flores, Marius Holtan. 640-648 [doi]
- Towards Classification of Social StreamsMin-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang. 649-657 [doi]
- Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User CommentsLei Cen, Deguang Kong, Hongxia Jin, Luo Si. 658-666 [doi]
- Learning Compressive Sensing Models for Big Spatio-Temporal DataDongeun Lee, Jaesik Choi. 667-675 [doi]
- Learning Stroke Treatment Progression Models for an MDP Clinical Decision Support SystemDan C. Coroian, Kris Hauser. 676-684 [doi]
- OnlineCM: Real-time Consensus Classification with Missing ValuesBowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu. 685-693 [doi]
- MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-GapsLong T. Le, Tina Eliassi-Rad, Hanghang Tong. 694-702 [doi]
- What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task RelationshipsSunil Kumar Gupta, Santu Rana, Dinh Phung, Svetha Venkatesh. 703-711 [doi]
- A Generalized Mixture Framework for Multi-label ClassificationCharmgil Hong, Iyad Batal, Milos Hauskrecht. 712-720 [doi]
- Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's DiseaseYing Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang. 721-729 [doi]
- Ensemble Learning Methods for Binary Classification with Multi-modality within the ClassesAnuj Karpatne, Ankush Khandelwal, Vipin Kumar. 730-738 [doi]
- A Framework for Simplifying Trip Data into Networks via Coupled Matrix FactorizationChia-Tung Kuo, James Bailey, Ian Davidson. 739-747 [doi]
- Multi-View Low-Rank Analysis for Outlier DetectionSheng Li, Ming Shao, Yun Fu. 748-756 [doi]
- REAFUM: Representative Approximate Frequent Subgraph MiningRuirui Li, Wei Wang. 757-765 [doi]
- DIAS: A Disassemble-Assemble Framework for Highly Sparse Text ClusteringHongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu. 766-774 [doi]
- Optimal event sequence sanitizationGrigorios Loukides, Robert Gwadera. 775-783 [doi]
- Predicting Neighbor Distribution in Heterogeneous Information NetworksYuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu. 784-791 [doi]
- SimplePPT: A Simple Principal Tree AlgorithmQi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun. 792-800 [doi]
- Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in VideosAdway Mitra, Soma Biswas, Chiranjib Bhattacharyya. 801-809 [doi]
- Correlating Surgical Vital Sign Quality with 30-Day Outcomes using Regression on Time Series Segment FeaturesRisa B. Myers, John C. Frenzel, Joseph R. Ruiz, Christopher M. Jermaine. 810-818 [doi]
- Multi-Layered Framework for Modeling Relationships between Biased ObjectsIku Ohama, Takuya Kida, Hiroki Arimura. 819-827 [doi]
- Optimizing Hashing Functions for Similarity Indexing in Arbitrary Metric and Nonmetric SpacesPat Jangyodsuk, Panagiotis Papapetrou, Vassilis Athitsos. 828-836 [doi]
- SpecLDA: Modeling Product Reviews and Specifications to Generate Augmented SpecificationsDae Hoon Park, ChengXiang Zhai, Lifan Guo. 837-845 [doi]
- Mining Multi-Relational Gradual PatternsNhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire. 846-854 [doi]
- Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate ForumsMinghui Qiu, Yanchuan Sim, Noah A. Smith, Jing Jiang. 855-863 [doi]
- Predicting Preference Tags to Improve Item RecommendationTanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi. 864-872 [doi]
- Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification LatencyVinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista. 873-881 [doi]
- Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate PoissonLavanya Sita Tekumalla, Chiranjib Bhattacharyya. 882-890 [doi]
- Taming the Empirical Hubness Risk in Many DimensionsNenad Tomasev. 891-899 [doi]
- Scalable Clustering of Time Series with U-ShapeletsLiudmila Ulanova, Nurjahan Begum, Eamonn J. Keogh. 900-908 [doi]
- Causal Inference by Direction of InformationJilles Vreeken. 909-917 [doi]
- Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information NetworkMengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han. 918-926 [doi]
- Localizing Temporal Anomalies in Large Evolving GraphsTeng Wang, Chunsheng Fang, Derek Lin, Shyhtsun Felix Wu. 927-935 [doi]
- k-meansJoyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich. 936-944 [doi]
- Festival, Date and Limit Line: Predicting Vehicle Accident Rate in BeijingXinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang. 945-953 [doi]
- A Multi-label Least-Squares Hashing For Scalable Image SearchShengsheng Wang, Zi Huang, Xin-Shun Xu. 954-962 [doi]
- Spatiotemporal Event Forecasting in Social MediaLiang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. 963-971 [doi]
- Back Matter972-976 [doi]