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4th 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 - Steffen Bickel, Tobias Scheffer:
Multi-View Clustering. 19-26 - Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger:
Density Connected Clustering with Local Subspace Preferences. 27-34 - Francesco Bonchi, Claudio Lucchese
On Closed Constrained Frequent Pattern Mining. 35-42 - 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 - David Gondek, Thomas Hofmann:
Non-Redundant Data Clustering. 75-82 - Anjan Goswami, Ruoming Jin, Gagan Agrawal:
Fast and Exact Out-of-Core K-Means Clustering. 83-90 - Gösta Grahne, Jianfei Zhu:
Mining Frequent Itemsets from Secondary Memory. 91-98 - Jens Gregor, ZhenQiu Liu:
A Bayesian Framework for Regularized SVM Parameter Estimation. 99-105 - Niina Haiminen
Unimodal Segmentation of Sequences. 106-113 - 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
Mass Spectrum Labeling: Theory and Practice. 122-129 - Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant G. 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 - Jennifer Neville, David D. Jensen
Dependency Networks for Relational Data. 170-177 - Laurence Anthony 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
Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. 202-208 - Pei Sun, Sanjay Chawla:
On Local Spatial Outliers. 209-216 - Fadi A. Thabtah, Peter I. Cowling
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 - Jaideep Vaidya, Chris Clifton:
Privacy-Preserving Outlier Detection. 233-240 - 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 G. 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
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
A Biobjective Model to Select Features with Good Classification Quality and Low Cost. 339-342 - Yi Chen, Liang Huai Yang
Incremental Mining of Frequent XML Query Pattern. 343-346 - Shalendra Chhabra, William S. Yerazunis, Christian Siefkes:
Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas. 347-350 - Fang Chu, Yizhou Wang, Carlo Zaniolo:
An Adaptive Learning Approach for Noisy Data Streams. 351-354 - Amanda Clare, Hugh E. Williams, Nicholas Lester:
Scalable Multi-Relational Association Mining. 355-358 - Frans Coenen
An Evaluation of Approaches to Classification Rule Selection. 359-362 - 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
Clustering on Demand for Multiple Data Streams. 367-370 - Margaret H. Dunham, Yu Meng, Jie Huang:
Extensible Markov Model. 371-374 - 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 - David F. Gleich, Leonid Zhukov:
SVD based Term Suggestion and Ranking System. 391-394 - Paolo Ferragina
The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book Snippets. 395-398 - Yiqiu Han, Wai Lam:
Query-Driven Support Pattern Discovery for Classification Learning. 399-402 - Eduardo R. Hruschka
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
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 - Toshihiro Kamishima, Shotaro Akaho
Filling-in Missing Objects in Orders. 423-426 - Hillol Kargupta, Haimonti Dutta:
Orthogonal Decision Trees. 427-430 - Mehmet Kaya
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 - Michihiro Kuramochi, George Karypis
GREW-A Scalable Frequent Subgraph Discovery Algorithm. 439-442 - Chih Lai, Nga T. Nguyen:
Predicting Density-Based Spatial Clusters Over Time. 443-446 - Beng-Seuk Lee, Trevor P. Martin, Nick P. Clarke, Basim A. Majeed, Detlef D. Nauck:
Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems. 447-450 - Tao Li, Sheng Ma:
Mining Temporal Patterns Without Predefined Time Windows. 451-454 - Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong:
Classifying Biomedical Citations without Labeled Training Examples. 455-458 - David George Lindsay, Siân Cox:
Improving the Reliability of Decision Tree and Naive Bayes Learners. 459-462 - Jinze Liu, Karl Strohmaier, Wei Wang:
Revealing True Subspace Clusters in High Dimensions. 463-466 - Daoying Ma, Aidong Zhang:
An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise. 467-470 - Xi Ma, HweeHwa Pang
Finding Constrained Frequent Episodes Using Minimal Occurrences. 471-474 - Sandeep Mane, Jaideep Srivastava
Estimation of False Negatives in Classification. 475-478 - Sameep Mehta, Srinivasan Parthasarathy
Correlation Preserving Discretization. 479-482 - 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 - Jiang Su, Harry Zhang:
Learning Conditional Independence Tree for Ranking. 531-534 - 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 - Véronique Ventos, Henry Soldano, Thibaut Lamadon:
Alpha Galois Lattices. 555-558 - 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 - Harry Zhang, Shengli Sheng:
Learning Weighted Naive Bayes with Accurate Ranking. 567-570 - 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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