4. ICDM 2004: Brighton, UK
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK. IEEE Computer Society 2004 ISBN 0-7695-2142-8
Regular Papers
- Mikhail J. Atallah, Robert Gwadera, Wojciech Szpankowski: Detection of Significant Sets of Episodes in Event Sequences. 3-10
- Christian Baumgartner, Claudia Plant, Karin Kailing, Hans-Peter Kriegel, Peer Kröger: Subspace Selection for Clustering High-Dimensional Data. 11-18
- Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger: Density Connected Clustering with Local Subspace Preferences. 27-34
- Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle: Efficient Density-Based Clustering of Complex Objects. 43-50
- Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling: Test-Cost Sensitive Naive Bayes Classification. 51-58
- Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz: Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window. 59-66
- Chris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta: Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data. 67-74
- Heli Hiisilä, Ella Bingham: Dependencies between Transcription Factor Binding Sites: Comparison between ICA, NMF, PLSA and Frequent Sets. 114-121
- Zheng Huang, Lei Chen, Jin-yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright: Mass Spectrum Labeling: Theory and Practice. 122-129
- Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant Honavar: Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. 130-137
- Grigoris I. Karakoulas, Ruslan Salakhutdinov: Semi-Supervised Mixture-of-Experts Classification. 138-145
- Matjaz Kukar: Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining. 146-153
- Tsau Young Lin: Mining Associations by Linear Inequalities. 154-161
- Tao Liu, Zheng Chen, Benyu Zhang, Wei-Ying Ma, Gongyi Wu: Improving Text Classification using Local Latent Semantic Indexing. 162-169
- Laurence A. F. Park, Kotagiri Ramamohanarao: Hybrid Pre-Query Term Expansion using Latent Semantic Analysis. 178-185
- Karlton Sequeira, Mohammed Javeed Zaki: SCHISM: A New Approach for Interesting Subspace Mining. 186-193
- B. Shekar, Rajesh Natarajan: A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules. 194-201
- Antonino Staiano, Lara De Vinco, Angelo Ciaramella, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Giuseppe Longo, Ciro Donalek, Gennaro Miele, Diego di Bernardo: Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. 202-208
- Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng: MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. 217-224
- Alexander P. Topchy, Martin H. C. Law, Anil K. Jain, Ana L. N. Fred: Analysis of Consensus Partition in Cluster Ensemble. 225-232
- Jianyong Wang, George Karypis: SUMMARY: Efficiently Summarizing Transactions for Clustering. 241-248
- Ke Wang, Philip S. Yu, Sourav Chakraborty: Bottom-Up Generalization: A Data Mining Solution to Privacy Protection. 249-256
- Tak-Lam Wong, Wai Lam: A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. 257-264
- Gang Wu, Edward Y. Chang: Aligning Boundary in Kernel Space for Learning Imbalanced Dataset. 265-272
- Gui-Rong Xue, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen, Yong Yu, Wensi Xi, Wei-Ying Ma: IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects. 273-280
- Feng Zhang: A Polygonal Line Algorithm based Nonlinear Feature Extraction Method. 281-288
- Jun Zhang, Vasant Honavar: AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data. 289-296
- Xingquan Zhu, Xindong Wu: Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning. 297-304
- Xingquan Zhu, Xindong Wu, Ying Yang: Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. 305-312
Short Papers
- Hamad Alhammady, Kotagiri Ramamohanarao: Using Emerging Patterns and Decision Trees in Rare-Class Classification. 315-318
- Alexessander Alves, Rui Camacho, Eugenio Oliveira: Discovery of Functional Relationships in Multi-Relational Data using Inductive Logic Programming. 319-322
- Andrew Arnt, Shlomo Zilberstein: Attribute Measurement Policies for Time and Cost Sensitive Classification. 323-326
- Michael Baranski, Jürgen Voss: Detecting Patterns of Appliances from Total Load Data Using a Dynamic Programming Approach. 327-330
- Stephan Bloehdorn, Andreas Hotho: Text Classification by Boosting Weak Learners based on Terms and Concepts. 331-334
- Björn Bringmann: Matching in Frequent Tree Discovery. 335-338
- Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales: A Biobjective Model to Select Features with Good Classification Quality and Low Cost. 339-342
- Shalendra Chhabra, William S. Yerazunis, Christian Siefkes: Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas. 347-350
- Amanda Clare, Hugh E. Williams, Nicholas Lester: Scalable Multi-Relational Association Mining. 355-358
- Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Feng Pan: Mining Frequent Closed Patterns in Microarray Data. 363-366
- Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen: Clustering on Demand for Multiple Data Streams. 367-370
- Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta: Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. 375-378
- Wei Fan, Yi-an Huang, Philip S. Yu: Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams. 379-382
- Pierre Geurts, Ibtissam El Khayat, Guy Leduc: A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks. 383-386
- Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy: LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. 387-390
- Paolo Ferragina, Antonio Gulli: The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book Snippets. 395-398
- Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello: Evolutionary Algorithms for Clustering Gene-Expression Data. 403-406
- Chenyong Hu, Benyu Zhang, Shuicheng Yan, Qiang Yang, Jun Yan, Zheng Chen, Wei-Ying Ma: Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization. 407-410
- Ye Huang, Paul J. McCullagh, Norman D. Black: Feature Selection via Supervised Model Construction. 411-414
- Akihiro Inokuchi: Mining Generalized Substructures from a Set of Labeled Graphs. 415-418
- Tianyi Jiang, Alexander Tuzhilin: Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. 419-422
- Mehmet Kaya, Reda Alhajj: ntegrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules Mining. 431-434
- Hyungil Kim, Juntae Kim, Jonathan L. Herlocker: Feature-Based Prediction of Unknown Preferences for Nearest-Neighbor Collaborative Filtering. 435-438
- Beng-Seuk Lee, Trevor P. Martin, Nick P. Clarke, Basim A. Majeed, Detlef Nauck: Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems. 447-450
- Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong: Classifying Biomedical Citations without Labeled Training Examples. 455-458
- David G. Lindsay, Siân Cox: Improving the Reliability of Decision Tree and Naive Bayes Learners. 459-462
- Daoying Ma, Aidong Zhang: An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise. 467-470
- Xi Ma, HweeHwa Pang, Kian-Lee Tan: Finding Constrained Frequent Episodes Using Minimal Occurrences. 471-474
- Sandeep Mane, Jaideep Srivastava, San-Yih Hwang, Jamshid A. Vayghan: Estimation of False Negatives in Classification. 475-478
- Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney: Active Feature-Value Acquisition for Classifier Induction. 483-486
- Da Meng, Krishnamoorthy Sivakumar, Hillol Kargupta: Privacy-Sensitive Bayesian Network Parameter Learning. 487-490
- Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos: MMSS: Multi-Modal Story-Oriented Video Summarization. 491-494
- Cheong Hee Park, Haesun Park, Panos M. Pardalos: A Comparative Study of Linear and Nonlinear Feature Extraction Methods. 495-498
- François Poulet: SVM and Graphical Algorithms: A Cooperative Approach. 499-502
- Dongmei Ren, Baoying Wang, William Perrizo: RDF: A Density-Based Outlier Detection Method using Vertical Data Representation. 503-506
- Ulrich Rückert, Lothar Richter, Stefan Kramer: Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. 507-510
- Marko Salmenkivi: Evaluating Attraction in Spatial Point Patterns with an Application in the Field of Cultural History. 511-514
- Dawit Yimam Seid, Sharad Mehrotra: Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes. 515-518
- Yi-Dong Shen, Zhiyong Shen, Shi-Ming Zhang, Qiang Yang: Cluster Cores-Based Clustering for High Dimensional Data. 519-522
- Dan A. Simovici, Namita Singla, Michael Kuperberg: Metric Incremental Clustering of Nominal Data. 523-526
- Nenad Stojanovic: n Ranking Refinements in the Step-by-Step Searching through a Product Catalogue. 527-530
- Jian-Tao Sun, Zheng Chen, Hua-Jun Zeng, Yuchang Lu, Chun-Yi Shi, Wei-Ying Ma: Supervised Latent Semantic Indexing for Document Categorization. 535-538
- Ping Sun: Sparse Kernel Least Squares Classifier. 539-542
- Alexandre Termier, Marie-Christine Rousset, Michèle Sebag: DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases. 543-546
- Andrei L. Turinsky, Robert L. Grossman: A Greedy Algorithm for Selecting Models in Ensembles. 547-550
- Juan D. Velásquez, Alejandro Bassi, Hiroshi Yasuda, Terumasa Aoki: Mining Web Data to Create Online Navigation Recommendations. 551-554
- Jiong Yang, Wei Wang: AGILE: A General Approach to Detect Transitions in Evolving Data Streams. 559-562
- Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han: Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. 563-566
- Jianping Zhang, Eric Bloedorn, Lowell Rosen, Daniel Venese: Learning Rules from Highly Unbalanced Data Sets. 571-574
- Ning Zhong, Chunnian Liu, Yiyu Yao, Muneaki Ohshima, Mingxin Huang, Jiajin Huang: Relational Peculiarity Oriented Data Mining. 575-578
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last updated on 2013-06-18T211851 by the dblp team