Abstract is missing.
- Preface [doi]
- Message from the Conference Co-Chairs [doi]
- Semi-Supervised Clustering via Matrix FactorizationFei Wang, Tao Li, Changshui Zhang. 1-12 [doi]
- Creating a Cluster Hierarchy under Constraints of a Partially Known HierarchyKorinna Bade, Andreas Nürnberger. 13-24 [doi]
- Constrained Co-clustering of Gene Expression DataRuggero G. Pensa, Jean-François Boulicaut. 25-36 [doi]
- Data Peeler: Contraint-Based Closed Pattern Mining in n-ary RelationsLoïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. 37-48 [doi]
- SpaRClus: Spatial Relationship Pattern-Based Hierarchial ClusteringSangkyum Kim, Xin Jin, Jiawei Han. 49-60 [doi]
- Mining Tree Patterns with Almost Smallest SupertreesJeroen De Knijf. 61-71 [doi]
- Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering ApplicationsJinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong. 72-83 [doi]
- CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software MiningDing Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou, Jiawei Han. 84-95 [doi]
- Mining Association Rules of Simple Conjunctive QueriesBart Goethals, Wim Le Page, Heikki Mannila. 96-107 [doi]
- Discovering Relational Items Sets EfficientlyArne Koopman, Arno Siebes. 108-119 [doi]
- A Stagewise Least Square Loss Function for ClassificationShuang-Hong Yang, Bao-Gang Hu. 120-131 [doi]
- Semi-Supervised Learning Based on Semiparametric RegularizationZhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos. 132-142 [doi]
- Roughly Balanced Bagging for Imbalanced DataShohei Hido, Hisashi Kashima. 143-152 [doi]
- An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer NetworksKanishka Bhaduri, Hillol Kargupta. 153-164 [doi]
- Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance RegressionZhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic. 165-176 [doi]
- Feature Selection with the logRatio KernelJulien Prados, Alexandros Kalousis, Melanie Hilario. 177-187 [doi]
- A RELIEF Based Feature Extraction AlgorithmYijun Sun, Dapeng Wu. 188-195 [doi]
- Deterministic Latent Variable Models and Their PitfallsMax Welling, Chaitanya Chemudugunta, Nathan Sutter. 196-207 [doi]
- Massive-Scale Kernel Discriminant Analysis: Mining for QuasarsRyan Riegel, Alexander Gray, Gordon Richards. 208-218 [doi]
- Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary ClusteringAmr Ahmed, Eric P. Xing. 219-230 [doi]
- Latent Variable Mining with Its Applications to Anomalous Behavior DetectionShunsuke Hirose, Kenji Yamanishi. 231-242 [doi]
- Similarity Measures for Categorical Data: A Comparative EvaluationShyam Boriah, Varun Chandola, Vipin Kumar. 243-254 [doi]
- Gaussian Process Learning for Cyber-Attack Early WarningJian Zhang, Phillip A. Porras, Johannes Ullrich. 255-264 [doi]
- Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data MiningYitao Duan, John F. Canny. 265-276 [doi]
- A Spamicity Approach to Web Spam DetectionBin Zhou 0002, Jian Pei, ZhaoHui Tang. 277-288 [doi]
- Semantic Smoothing for Bayesian Text Classification with Small Training DataXiaohua Zhou, Xiaodan Zhang, Xiaohua Hu. 289-300 [doi]
- Clustering from Constraint GraphsAri Freund, Dan Pelleg, Yossi Richter. 301-312 [doi]
- Efficiently Mining Closed Subsequences with Gap ConstraintsChun Li, Jianyong Wang. 313-322 [doi]
- Semi-Supervised Classification with UniversumDan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang. 323-333 [doi]
- Finding Subgroups having Several Descriptions: Algorithms for Redescription MiningArianna Gallo, Pauli Miettinen, Heikki Mannila. 334-345 [doi]
- The PageTrust Algorithm: How to rank web pages when negative links are allowed?Cristobald de Kerchove, Paul Van Dooren. 346-352 [doi]
- A pattern mining approach toward discovering generalized sequence signaturesDietmar H. Dorr, Anne Denton. 353-362 [doi]
- The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data MiningLexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn J. Keogh. 363-374 [doi]
- Preemptive Measures against Malicious Party in Privacy-Preserving Data MiningShuguo Han, Wee Keong Ng. 375-386 [doi]
- A Range Query Approach for High Dimensional Euclidean Space Based on EDM EstimationKentarou Kido, Hiroshi Kuwajima, Takashi Washio. 387-398 [doi]
- A Bayesian Technique for Estimating the Credibility of question AnswerersByron Dom, Deepa Paranjpe. 399-409 [doi]
- Semi-supervised Multi-label Learning by Solving a Sylvester EquationGang Chen, Yangqiu Song, Fei Wang, Changshui Zhang. 410-419 [doi]
- Exploiting Structured Reference Data for Unsupervised Text Segmentation with Conditional Random FieldsChang Zhao, Jalal Mahmud, I. V. Ramakrishnan. 420-431 [doi]
- Graph Mining with Variational Dirichlet Process Mixture ModelsKoji Tsuda, Kenichi Kurihara. 432-442 [doi]
- Direct Density Ratio Estimation for Large-scale Covariate Shift AdaptationYuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama. 443-454 [doi]
- ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression DataM. Maruf Hossain, Md. Rafiul Hassan, James Bailey. 455-465 [doi]
- Semi-supervised Learning of a Markovian MetricAvleen Singh Bijral, Manuel E. Lladser, Gregory Z. Grudic. 466-471 [doi]
- Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event DetectionRyohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato. 472-482 [doi]
- Outlier Detection with Uncertain DataCharu C. Aggarwal, Philip S. Yu. 483-493 [doi]
- Randomization of real-valued matrices for assessing the significance of data mining resultsMarkus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila. 494-505 [doi]
- Theorectical Analysis of Subsequence Time-Series Clustering from a Frequency-Analysis ViewpointRyohei Fujimaki, Shunsuke Hirose, Takayuki Nakata. 506-517 [doi]
- Active Learning with Model Selection in Linear RegressionMasashi Sugiyama, Neil Rubens. 518-529 [doi]
- A Feature Selection Algorithm Capable of Handling Extremely Large Data DimensionalityYijun Sun, Sinisa Todorovic, Steve Goodison. 530-540 [doi]
- Generic Methods for Multi-criteria EvaluationNiklas Lavesson, Paul Davidsson. 541-546 [doi]
- A New Method for Rule Finding Via Bootstrapped Confidence IntervalsNorman Matloff. 547-552 [doi]
- Mining and Ranking Generators of Sequential PatternsDavid Lo, Siau-Cheng Khoo, Jinyan Li. 553-564 [doi]
- Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancingJiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu. 565-576 [doi]
- Exploration and Reduction of the Feature Space by Hierarchical ClusteringDino Ienco, Rosa Meo. 577-587 [doi]
- On the Dangers of Cross-Validation. An Experimental EvaluationR. Bharat Rao, Glenn Fung. 588-596 [doi]
- Mining Complex, Maximal and Complete Sub-graph and Sets of Correlated Variables with Applications to Feature Subset SelectionFlorian Verhein. 597-608 [doi]
- Spatio-Temporal Partitioning for Improving Aerosol Prediction AccuracyVladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic. 609-620 [doi]
- On Indexing High Demensional Data with UncertaintyCharu C. Aggarwal, Philip S. Yu. 621-631 [doi]
- Efficient Distribution Mining and ClassificationYasushi Sakurai, Rosalynn Chong, Lei Li, Christos Faloutsos. 632-643 [doi]
- Mining Sequence Classifiers for Early PredictionZhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu. 644-655 [doi]
- Exact and Approximate Reverse Nearest Neighbor Search for Multimedia DataJessica Lin, David Etter, David DeBarr. 656-667 [doi]
- Finding a Haystack in Haystacks - Simultaneous Identification of Concepts in Large Bio-Medical CorporaYing Liu, Lucian V. Lita, Radu Stefan Niculescu, Prasenjit Mitra, C. Lee Giles. 668-679 [doi]
- Learning Markov Network Structure using Few Independence TestsParichey Gandhi, Facundo Bromberg, Dimitris Margaritis. 680-691 [doi]
- Statistical Density Prediction in Traffic NetworksHans-Peter Kriegel, Matthias Renz, Matthias Schubert, Andreas Züfle. 692-703 [doi]
- Proximity Tracking on Time-Evolving Bipartite GraphsHanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos. 704-715 [doi]
- Integration of Multiple Networks for Robust Label PropagationTsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama. 716-726 [doi]
- Spatial Scan Statistics for Graph ClusteringBei Wang, Jeff M. Phillips, Robert Schreiber, Dennis M. Wilkinson. 727-738 [doi]
- Randomizing Social Networks: a Spectrum Preserving ApproachXiaowei Ying, Xintao Wu. 739-750 [doi]
- Efficient Maximum Margin Clustering via Cutting Plane AlgorithmBin Zhao, Fei Wang, Changshui Zhang. 751-762 [doi]
- Robust Clustering in Arbitrarily Oriented SubspacesElke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek. 763-774 [doi]
- The Relevant-set Correlation Model for Data ClusteringMichael E. Houle. 775-786 [doi]
- Cluster Ensemble SelectionXiaoli Z. Fern, Wei Lin. 787-797 [doi]
- Weighted Consensus ClusteringTao Li, Chris H. Q. Ding. 798-809 [doi]
- A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision treesIrene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis. 810-821 [doi]
- A General Model for Multiple View Unsupervised LearningBo Long, Philip S. Yu, Zhongfei (Mark) Zhang. 822-833 [doi]
- Unsupervised Segmentation of Conversational TranscriptsKrishna Kummamuru, Deepak P, Shourya Roy, L. Venkata Subramaniam. 834-845 [doi]
- Large-Scale Many-Class LearningOmid Madani, Michael Connor. 846-857 [doi]
- Simultaneous Unsupervised Learning of Disparate ClusteringsPrateek Jain, Raghu Meka, Inderjit S. Dhillon. 858-869 [doi]