Abstract is missing.
- ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot BehaviorsShin Ando, Einoshin Suzuki, Yoichi Seki, Theerasak Thanongphongphan, Daisuke Hoshino. 1-12 [doi]
- Interpreting and Unifying Outlier ScoresHans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. 13-24 [doi]
- Fast Algorithms for Finding Extremal SetsRoberto J. Bayardo, Biswanath Panda. 25-34 [doi]
- Structural Diversity for Privacy in Publishing Social NetworksChih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen. 35-46 [doi]
- The Network Completion Problem: Inferring Missing Nodes and Edges in NetworksMyunghwan Kim 0002, Jure Leskovec. 47-58 [doi]
- Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity AssessmentFei Wang, Jimeng Sun, Shahram Ebadollahi. 59-70 [doi]
- Learning Feature Dependencies for Noise Correction in Biomedical PredictionGhim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang. 71-82 [doi]
- Data Integration via Constrained Clustering: An Application to Enzyme ClusteringElisa Boari de Lima, Raquel Cardoso de Melo Minardi, Wagner Meira Jr., Mohammed Javeed Zaki. 83-94 [doi]
- A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time SeriesVarun Chandola, Ranga Raju Vatsavai. 95-106 [doi]
- Discovering Dynamic Dipoles in Climate DataJaya Kawale, Michael Steinbach, Vipin Kumar. 107-118 [doi]
- Centralities in Large Networks: Algorithms and ObservationsU. Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong. 119-130 [doi]
- Large Scale Graph Mining and Inference for Malware DetectionDuen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos. 131-142 [doi]
- Non-Negative Residual Matrix Factorization with Application to Graph Anomaly DetectionHanghang Tong, Ching-Yung Lin. 143-153 [doi]
- Kernel-based Similarity Search in Massive Graph Databases with Wavelet TreesYasuo Tabei, Koji Tsuda. 154-163 [doi]
- Clustered low rank approximation of graphs in information science applicationsBerkant Savas, Inderjit S. Dhillon. 164-175 [doi]
- Who Should Label What? Instance Allocation in Multiple Expert Active LearningByron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos. 176-187 [doi]
- A Quadratic Mean based Supervised Learning Model for Managing Data SkewnessWei Liu, Sanjay Chawla. 188-198 [doi]
- MKBoost: A Framework of Multiple Kernel BoostingHao Xia, Steven C. H. Hoi. 199-210 [doi]
- Efficient Kernel Approximation for Large-Scale Support Vector Machine ClassificationMing-Syan Chen, Keng-Pei Lin. 211-222 [doi]
- A Sequential Dual Method for Structural SVMsShirish Krishnaj Shevade, Balamurugan P., S. Sundararajan, S. Sathiya Keerthi. 223-234 [doi]
- Segmented nestedness in binary dataEsa Junttila, Petteri Kaski. 235-246 [doi]
- Extracting Interpretable Features for Early Classification on Time SeriesZhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang. 247-258 [doi]
- Feature-based Inductive Transfer Learning through Minimum EncodingHao Shao, Einoshin Suzuki. 259-270 [doi]
- Chernoff Dimensionality Reduction--Where Fisher Meets FKTJing Peng, Guna Seetharaman, Stefan A. Robila, Aparna S. Varde, Wei Fan. 271-282 [doi]
- Weighted Rank-One Binary Matrix FactorizationHaibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, Heechang Shin, Lili Jiang. 283-294 [doi]
- ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone IdentificationVineet Chaoji, Geng Li, Hilmi Yildirim, Mohammed Javeed Zaki. 295-306 [doi]
- Spatially-Aware Comparison and Consensus for ClusteringsParasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian. 307-318 [doi]
- SONAR: Signal De-mixing for Robust Correlation ClusteringClaudia Plant. 319-330 [doi]
- Nonparametric Bayesian Co-clustering EnsemblesPu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael Jordan. 331-342 [doi]
- A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clustersOmar Odibat, Chandan K. Reddy. 343-354 [doi]
- On Node Classification in Dynamic Content-based NetworksCharu C. Aggarwal, Nan Li. 355-366 [doi]
- Predicting Item Adoption Using Social CorrelationFreddy Chong Tat Chua, Hady Wirawan Lauw, Ee-Peng Lim. 367-378 [doi]
- Influence Maximization in Social Networks When Negative Opinions May Emerge and PropagateWei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincón, Xiaorui Sun, Yajun Wang, Wei Wei, Yifei Yuan. 379-390 [doi]
- Towards Community Detection in Locally Heterogeneous NetworksCharu C. Aggarwal, Yan Xie, Philip S. Yu. 391-402 [doi]
- Cost of Collaboration vs Individual Effort in Social NetworksSanthanakrishnan Anand, Rajarathnam Chandramouli, Koduvayur P. Subbalakshmi. 403-413 [doi]
- Are your Items in OrderNikolaj Tatti. 414-425 [doi]
- Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative FilteringTruyen Tran, Dinh Q. Phung, Svetha Venkatesh. 426-437 [doi]
- Distributed Monitoring of the R2 Statistic for Linear RegressionKanishka Bhaduri, Kamalika Das, Chris Giannella. 438-449 [doi]
- Block-LDA: Jointly modeling entity-annotated text and entity-entity linksRamnath Balasubramanyan, William W. Cohen. 450-461 [doi]
- A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational DataOliver Schulte. 462-473 [doi]
- Sparse Latent Semantic AnalysisXi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell. 474-485 [doi]
- Graph-Based Marginal Ranking for Update SummarizationXuan Li, Liang Du, Yi-Dong Shen. 486-497 [doi]
- Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated SentimentsHimabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu. 498-509 [doi]
- Semi-Supervised Convolution Graph Kernels for Relation ExtractionXia Ning, Yanjun Qi. 510-521 [doi]
- On Flow Authority Discovery in Social NetworksCharu C. Aggarwal, Arijit Khan, Xifeng Yan. 522-533 [doi]
- Characterizing Uncertain Data using CompressionFrancesco Bonchi, Matthijs van Leeuwen, Antti Ukkonen. 534-545 [doi]
- From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean WorldEsther Galbrun, Pauli Miettinen. 546-557 [doi]
- A Structure Function for Transaction DataArno Siebes, Rene Kersten. 558-569 [doi]
- Multidimensional Association Rules in Boolean TensorsKim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut. 570-581 [doi]
- Fast Rule Mining Over Multi-Dimensional WindowsMahashweta Das, Deepak P, Prasad Deshpande, Ramakrishnan Kannan. 582-593 [doi]
- FAMER: Making Multi-Instance Learning Better and FasterWei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua. 594-605 [doi]
- Multi-Instance Mixture ModelsJames R. Foulds, Padhraic Smyth. 606-617 [doi]
- Multi-Label Collective ClassificationXiangnan Kong, Xiaoxiao Shi, Philip S. Yu. 618-629 [doi]
- A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering DataNicola Barbieri, Giuseppe Manco, Ettore Ritacco. 630-621 [doi]
- Online Max-Margin Weight Learning for Markov Logic NetworksTuyen N. Huynh, Raymond J. Mooney. 642-651 [doi]
- On Classification of Graph StreamsCharu C. Aggarwal. 652-663 [doi]
- Temporal Structure Learning for Clustering Massive Data Streams in Real-TimeMichael Hahsler, Margaret H. Dunham. 664-675 [doi]
- Significance of Patterns in Time Series CollectionsNiko Vuokko, Petteri Kaski. 676-686 [doi]
- Time Series Motifs Statistical SignificanceNuno Castro, Paulo J. Azevedo. 687-698 [doi]
- A Complexity-Invariant Distance Measure for Time SeriesGustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh. 699-710 [doi]
- On Anonymization of Multi-graphsChun Li, Charu C. Aggarwal, Jianyong Wang. 711-722 [doi]
- Scalable Software-Defect Localisation by Hierarchical Mining of Dynamic Call GraphsFrank Eichinger, Christopher Oßner, Klemens Böhm. 723-734 [doi]
- Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary AttacksChih-Chun Chia, Zeeshan Syed. 735-746 [doi]
- Unsupervised Disaggregation of Low Frequency Power MeasurementsHyungsul Kim, Manish Marwah, Martin F. Arlitt, Geoff Lyon, Jiawei Han. 747-758 [doi]
- WindMine: Fast and Effective Mining of Web-click SequencesYasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos. 759-770 [doi]
- A Fast Algorithm for Sparse PCA and a New Sparsity Control CriteriaYunlong He, Renato Monteiro, Haesun Park. 771-782 [doi]
- Gaussian Process for Dimensionality Reduction in Transfer LearningBin Tong, Junbin Gao, Nguyen Huy Thach, Einoshin Suzuki. 783-794 [doi]
- Semantic Graph Kernels for Automated ReasoningEvgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes. 795-803 [doi]
- The Odd One Out: Identifying and Characterising AnomaliesKoen Smets, Jilles Vreeken. 804-815 [doi]
- Sparse Solutions for Single Class SVMs: A Bi-Criterion ApproachSantanu Das, Nikunj C. Oza. 816-827 [doi]
- Multi-task Multiple Kernel LearningPratik Jawanpuria, Jagarlapudi Saketha Nath. 828-838 [doi]
- The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the ListShivani Agarwal. 839-850 [doi]
- Active Teaching for Inductive LearnersJun Du, Charles X. Ling. 851-861 [doi]
- Semi-supervised Variable Weighting for ClusteringLing Chen, Chengqi Zhang. 862-871 [doi]
- Discovering Bucket Orders from DataVinayaka Pandit, Sreyash Kenkre, Arindam Khan. 872-883 [doi]
- Exemplar-based Robust Coherent BiclusteringKewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar. 884-895 [doi]
- Sequential Minimal Optimization in Adaptive-Bandwidth Convex ClusteringRikiya Takahashi. 896-907 [doi]
- Efficient Document Clustering via Online Nonnegative Matrix FactorizationsFei Wang, Ping Li, Arnd Christian König. 908-919 [doi]
- Extending Consensus Clustering to Explore Multiple Clustering ViewsYi Zhang 0005, Tao Li. 920-931 [doi]
- Weighted Graph Compression for Parameter-free Clustering With PaCCoNikola Mueller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm. 932-943 [doi]
- iMet: Interactive Metric Learning in Healthcare ApplicationsFei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi. 944-955 [doi]
- Maximising the Quality of InfluenceCharanpal Dhanjal, Stéphan Clémençon. 956-967 [doi]
- Human Dynamics in Large Communication NetworksPedro Olmo Vaz de Melo, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro. 968-879 [doi]
- Diversified Trajectory Pattern Ranking in Geo-tagged Social MediaZhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, Thomas S. Huang. 980-991 [doi]
- One-Class-Based Uncertain Data Stream LearningBo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu. 992-1003 [doi]
- Online Discovery of Top-k Similar Motifs in Time Series DataHoang Thanh Lam, Toon Calders, Ninh Pham. 1004-1015 [doi]