Abstract is missing.
- Detection of Significant Sets of Episodes in Event SequencesMikhail J. Atallah, Robert Gwadera, Wojciech Szpankowski. 3-10 [doi]
- Subspace Selection for Clustering High-Dimensional DataChristian Baumgartner, Claudia Plant, Karin Kailing, Hans-Peter Kriegel, Peer Kröger. 11-18 [doi]
- Multi-View ClusteringSteffen Bickel, Tobias Scheffer. 19-26 [doi]
- Density Connected Clustering with Local Subspace PreferencesChristian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger. 27-34 [doi]
- On Closed Constrained Frequent Pattern MiningFrancesco Bonchi, Claudio Lucchese. 35-42 [doi]
- Efficient Density-Based Clustering of Complex ObjectsStefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle. 43-50 [doi]
- Test-Cost Sensitive Naive Bayes ClassificationXiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling. 51-58 [doi]
- Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding WindowYun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz. 59-66 [doi]
- Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed DataChris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta. 67-74 [doi]
- Non-Redundant Data ClusteringDavid Gondek, Thomas Hofmann. 75-82 [doi]
- Fast and Exact Out-of-Core K-Means ClusteringAnjan Goswami, Ruoming Jin, Gagan Agrawal. 83-90 [doi]
- Mining Frequent Itemsets from Secondary MemoryGösta Grahne, Jianfei Zhu. 91-98 [doi]
- A Bayesian Framework for Regularized SVM Parameter EstimationJens Gregor, Zhenqiu Liu. 99-105 [doi]
- Unimodal Segmentation of SequencesNiina Haiminen, Aristides Gionis. 106-113 [doi]
- Dependencies between Transcription Factor Binding Sites: Comparison between ICA, NMF, PLSA and Frequent SetsHeli Hiisilä, Ella Bingham. 114-121 [doi]
- Mass Spectrum Labeling: Theory and PracticeZheng Huang, Lei Chen 0003, Jin-yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright. 122-129 [doi]
- Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact ClassifiersDae-Ki Kang, Adrian Silvescu, Jun Zhang 0002, Vasant Honavar. 130-137 [doi]
- Semi-Supervised Mixture-of-Experts ClassificationGrigoris J. Karakoulas, Ruslan Salakhutdinov. 138-145 [doi]
- Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data MiningMatjaz Kukar. 146-153 [doi]
- Mining Associations by Linear InequalitiesTsau Young Lin. 154-161 [doi]
- Improving Text Classification using Local Latent Semantic IndexingTao Liu, Zheng Chen, Benyu Zhang, Wei-Ying Ma, Gongyi Wu. 162-169 [doi]
- Dependency Networks for Relational DataJennifer Neville, David Jensen. 170-177 [doi]
- Hybrid Pre-Query Term Expansion using Latent Semantic AnalysisLaurence A. F. Park, Kotagiri Ramamohanarao. 178-185 [doi]
- SCHISM: A New Approach for Interesting Subspace MiningKarlton Sequeira, Mohammed Javeed Zaki. 186-193 [doi]
- A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association RulesB. Shekar, Rajesh Natarajan. 194-201 [doi]
- Probabilistic Principal Surfaces for Yeast Gene Microarray Data MiningAntonino Staiano, Lara De Vinco, Angelo Ciaramella, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Giuseppe Longo, Ciro Donalek, Gennaro Miele, Diego di Bernardo. 202-208 [doi]
- On Local Spatial OutliersPei Sun, Sanjay Chawla. 209-216 [doi]
- MMAC: A New Multi-Class, Multi-Label Associative Classification ApproachFadi A. Thabtah, Peter I. Cowling, Yonghong Peng. 217-224 [doi]
- Analysis of Consensus Partition in Cluster EnsembleAlexander P. Topchy, Martin H. C. Law, Anil K. Jain, Ana L. N. Fred. 225-232 [doi]
- Privacy-Preserving Outlier DetectionJaideep Vaidya, Chris Clifton. 233-240 [doi]
- SUMMARY: Efficiently Summarizing Transactions for ClusteringJianyong Wang, George Karypis. 241-248 [doi]
- Bottom-Up Generalization: A Data Mining Solution to Privacy ProtectionKe Wang, Philip S. Yu, Sourav Chakraborty. 249-256 [doi]
- A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New AttributesTak-Lam Wong, Wai Lam. 257-264 [doi]
- Aligning Boundary in Kernel Space for Learning Imbalanced DatasetGang Wu, Edward Y. Chang. 265-272 [doi]
- IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web ObjectsGui-Rong Xue, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen, Yong Yu, Wensi Xi, Wei-Ying Ma. 273-280 [doi]
- A Polygonal Line Algorithm based Nonlinear Feature Extraction MethodFeng Zhang. 281-288 [doi]
- AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and DataJun Zhang 0002, Vasant Honavar. 289-296 [doi]
- Cost-Guided Class Noise Handling for Effective Cost-Sensitive LearningXingquan Zhu, Xindong Wu. 297-304 [doi]
- Dynamic Classifier Selection for Effective Mining from Noisy Data StreamsXingquan Zhu, Xindong Wu, Ying Yang. 305-312 [doi]
- Using Emerging Patterns and Decision Trees in Rare-Class ClassificationHamad Alhammady, Kotagiri Ramamohanarao. 315-318 [doi]
- Discovery of Functional Relationships in Multi-Relational Data using Inductive Logic ProgrammingAlexessander Alves, Rui Camacho, Eugenio Oliveira. 319-322 [doi]
- Attribute Measurement Policies for Time and Cost Sensitive ClassificationAndrew Arnt, Shlomo Zilberstein. 323-326 [doi]
- Detecting Patterns of Appliances from Total Load Data Using a Dynamic Programming ApproachMichael Baranski, Jürgen Voss. 327-330 [doi]
- Text Classification by Boosting Weak Learners based on Terms and ConceptsStephan Bloehdorn, Andreas Hotho. 331-334 [doi]
- Matching in Frequent Tree DiscoveryBjörn Bringmann. 335-338 [doi]
- A Biobjective Model to Select Features with Good Classification Quality and Low CostEmilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales. 339-342 [doi]
- Incremental Mining of Frequent XML Query PatternYi Chen, Liang Huai Yang, Yu Guo Wang. 343-346 [doi]
- Spam Filtering using a Markov Random Field Model with Variable Weighting SchemasShalendra Chhabra, William S. Yerazunis, Christian Siefkes. 347-350 [doi]
- An Adaptive Learning Approach for Noisy Data StreamsFang Chu, Yizhou Wang, Carlo Zaniolo. 351-354 [doi]
- Scalable Multi-Relational Association MiningAmanda Clare, Hugh E. Williams, Nicholas Lester. 355-358 [doi]
- An Evaluation of Approaches to Classification Rule SelectionFrans Coenen, Paul H. Leng. 359-362 [doi]
- Mining Frequent Closed Patterns in Microarray DataGao Cong, Kian-Lee Tan, Anthony K. H. Tung, Feng Pan. 363-366 [doi]
- Clustering on Demand for Multiple Data StreamsBi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen. 367-370 [doi]
- Extensible Markov ModelMargaret H. Dunham, Yu Meng, Jie Huang. 371-374 [doi]
- Using Representative-Based Clustering for Nearest Neighbor Dataset EditingChristoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta. 375-378 [doi]
- Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data StreamsWei Fan, Yi-an Huang, Philip S. Yu. 379-382 [doi]
- A Machine Learning Approach to Improve Congestion Control over Wireless Computer NetworksPierre Geurts, Ibtissam El Khayat, Guy Leduc. 383-386 [doi]
- LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data SetsAmol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy. 387-390 [doi]
- SVD based Term Suggestion and Ranking SystemDavid Gleich, Leonid Zhukov. 391-394 [doi]
- The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book SnippetsPaolo Ferragina, Antonio Gulli. 395-398 [doi]
- Query-Driven Support Pattern Discovery for Classification LearningYiqiu Han, Wai Lam. 399-402 [doi]
- Evolutionary Algorithms for Clustering Gene-Expression DataEduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello. 403-406 [doi]
- Mining Ratio Rules Via Principal Sparse Non-Negative Matrix FactorizationChenyong Hu, Benyu Zhang, Shuicheng Yan, Qiang Yang, Jun Yan, Zheng Chen, Wei-Ying Ma. 407-410 [doi]
- Feature Selection via Supervised Model ConstructionYe Huang, Paul J. McCullagh, Norman D. Black. 411-414 [doi]
- Mining Generalized Substructures from a Set of Labeled GraphsAkihiro Inokuchi. 415-418 [doi]
- Divide and Prosper: Comparing Models of Customer Behavior From Populations to IndividualsTianyi Jiang, Alexander Tuzhilin. 419-422 [doi]
- Filling-in Missing Objects in OrdersToshihiro Kamishima, Shotaro Akaho. 423-426 [doi]
- Orthogonal Decision TreesHillol Kargupta, Haimonti Dutta. 427-430 [doi]
- ntegrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules MiningMehmet Kaya, Reda Alhajj. 431-434 [doi]
- Feature-Based Prediction of Unknown Preferences for Nearest-Neighbor Collaborative FilteringHyungil Kim, Juntae Kim, Jonathan L. Herlocker. 435-438 [doi]
- GREW-A Scalable Frequent Subgraph Discovery AlgorithmMichihiro Kuramochi, George Karypis. 439-442 [doi]
- Predicting Density-Based Spatial Clusters Over TimeChih Lai, Nga T. Nguyen. 443-446 [doi]
- Dynamic Daily-Living Patterns and Association Analyses in Tele-Care SystemsBeng-Seuk Lee, Trevor P. Martin, Nick P. Clarke, Basim A. Majeed, Detlef Nauck. 447-450 [doi]
- Mining Temporal Patterns Without Predefined Time WindowsTao Li, Sheng Ma. 451-454 [doi]
- Classifying Biomedical Citations without Labeled Training ExamplesXiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong. 455-458 [doi]
- Improving the Reliability of Decision Tree and Naive Bayes LearnersDavid G. Lindsay, Siân Cox. 459-462 [doi]
- Revealing True Subspace Clusters in High DimensionsJinze Liu, Karl Strohmaier, Wei Wang 0010. 463-466 [doi]
- An Adaptive Density-Based Clustering Algorithm for Spatial Database with NoiseDaoying Ma, Aidong Zhang. 467-470 [doi]
- Finding Constrained Frequent Episodes Using Minimal OccurrencesXi Ma, HweeHwa Pang, Kian-Lee Tan. 471-474 [doi]
- Estimation of False Negatives in ClassificationSandeep Mane, Jaideep Srivastava, San-Yih Hwang, Jamshid A. Vayghan. 475-478 [doi]
- Correlation Preserving DiscretizationSameep Mehta, Srinivasan Parthasarathy, Hui Yang. 479-482 [doi]
- Active Feature-Value Acquisition for Classifier InductionPrem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney. 483-486 [doi]
- Privacy-Sensitive Bayesian Network Parameter LearningDa Meng, Krishnamoorthy Sivakumar, Hillol Kargupta. 487-490 [doi]
- MMSS: Multi-Modal Story-Oriented Video SummarizationJia-Yu Pan, Hyung Jeong Yang, Christos Faloutsos. 491-494 [doi]
- A Comparative Study of Linear and Nonlinear Feature Extraction MethodsCheong Hee Park, Haesun Park, Panos M. Pardalos. 495-498 [doi]
- SVM and Graphical Algorithms: A Cooperative ApproachFrançois Poulet. 499-502 [doi]
- RDF: A Density-Based Outlier Detection Method using Vertical Data RepresentationDongmei Ren, Baoying Wang, William Perrizo. 503-506 [doi]
- Quantitative Association Rules Based on Half-Spaces: An Optimization ApproachUlrich Rückert, Lothar Richter, Stefan Kramer. 507-510 [doi]
- Evaluating Attraction in Spatial Point Patterns with an Application in the Field of Cultural HistoryMarko Salmenkivi. 511-514 [doi]
- Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-CubesDawit Yimam Seid, Sharad Mehrotra. 515-518 [doi]
- Cluster Cores-Based Clustering for High Dimensional DataYi-Dong Shen, Zhiyong Shen, Shi-Ming Zhang, Qiang Yang. 519-522 [doi]
- Metric Incremental Clustering of Nominal DataDan A. Simovici, Namita Singla, Michael Kuperberg. 523-526 [doi]
- n Ranking Refinements in the Step-by-Step Searching through a Product CatalogueNenad Stojanovic. 527-530 [doi]
- Learning Conditional Independence Tree for RankingJiang Su, Harry Zhang. 531-534 [doi]
- Supervised Latent Semantic Indexing for Document CategorizationJian-Tao Sun, Zheng Chen, Hua-Jun Zeng, Yuchang Lu, Chun-Yi Shi, Wei-Ying Ma. 535-538 [doi]
- Sparse Kernel Least Squares ClassifierPing Sun. 539-542 [doi]
- DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree DatabasesAlexandre Termier, Marie-Christine Rousset, Michèle Sebag. 543-546 [doi]
- A Greedy Algorithm for Selecting Models in EnsemblesAndrei L. Turinsky, Robert L. Grossman. 547-550 [doi]
- Mining Web Data to Create Online Navigation RecommendationsJuan D. Velásquez, Alejandro Bassi, Hiroshi Yasuda, Terumasa Aoki. 551-554 [doi]
- Alpha Galois LatticesVéronique Ventos, Henry Soldano, Thibaut Lamadon. 555-558 [doi]
- AGILE: A General Approach to Detect Transitions in Evolving Data StreamsJiong Yang, Wei Wang 0010. 559-562 [doi]
- Scalable Construction of Topic Directory with Nonparametric Closed Termset MiningHwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han. 563-566 [doi]
- Learning Weighted Naive Bayes with Accurate RankingHarry Zhang, Shengli Sheng. 567-570 [doi]
- Learning Rules from Highly Unbalanced Data SetsJianping Zhang, Eric Bloedorn, Lowell Rosen, Daniel Venese. 571-574 [doi]
- Relational Peculiarity Oriented Data MiningNing Zhong, Chunnian Liu, Yiyu Yao, Muneaki Ohshima, Mingxin Huang, Jiajin Huang. 575-578 [doi]