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 BibTeX
Regular Papers
- Mikhail J. Atallah, Robert Gwadera, Wojciech Szpankowski:
Detection of Significant Sets of Episodes in Event Sequences.
3-10
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- Christian Baumgartner, Claudia Plant, Karin Kailing, Hans-Peter Kriegel, Peer Kröger:
Subspace Selection for Clustering High-Dimensional Data.
11-18
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- Steffen Bickel, Tobias Scheffer:
Multi-View Clustering.
19-26
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- Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger:
Density Connected Clustering with Local Subspace Preferences.
27-34
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- Francesco Bonchi, Claudio Lucchese:
On Closed Constrained Frequent Pattern Mining.
35-42
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- Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle:
Efficient Density-Based Clustering of Complex Objects.
43-50
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- Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling:
Test-Cost Sensitive Naive Bayes Classification.
51-58
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- Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz:
Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window.
59-66
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- Chris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta:
Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data.
67-74
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- David Gondek, Thomas Hofmann:
Non-Redundant Data Clustering.
75-82
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- Anjan Goswami, Ruoming Jin, Gagan Agrawal:
Fast and Exact Out-of-Core K-Means Clustering.
83-90
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- Gösta Grahne, Jianfei Zhu:
Mining Frequent Itemsets from Secondary Memory.
91-98
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- Jens Gregor, ZhenQiu Liu:
A Bayesian Framework for Regularized SVM Parameter Estimation.
99-105
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- Niina Haiminen, Aristides Gionis:
Unimodal Segmentation of Sequences.
106-113
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- Heli Hiisilä, Ella Bingham:
Dependencies between Transcription Factor Binding Sites: Comparison between ICA, NMF, PLSA and Frequent Sets.
114-121
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- 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
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- 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
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- Grigoris J. Karakoulas, Ruslan Salakhutdinov:
Semi-Supervised Mixture-of-Experts Classification.
138-145
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- Matjaz Kukar:
Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining.
146-153
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- Tsau Young Lin:
Mining Associations by Linear Inequalities.
154-161
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- Tao Liu, Zheng Chen, Benyu Zhang, Wei-Ying Ma, Gongyi Wu:
Improving Text Classification using Local Latent Semantic Indexing.
162-169
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- Jennifer Neville, David Jensen:
Dependency Networks for Relational Data.
170-177
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- Laurence A. F. Park, Kotagiri Ramamohanarao:
Hybrid Pre-Query Term Expansion using Latent Semantic Analysis.
178-185
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- Karlton Sequeira, Mohammed Javeed Zaki:
SCHISM: A New Approach for Interesting Subspace Mining.
186-193
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- B. Shekar, Rajesh Natarajan:
A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules.
194-201
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- 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
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- Pei Sun, Sanjay Chawla:
On Local Spatial Outliers.
209-216
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- Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach.
217-224
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- Alexander P. Topchy, Martin H. C. Law, Anil K. Jain, Ana L. N. Fred:
Analysis of Consensus Partition in Cluster Ensemble.
225-232
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- Jaideep Vaidya, Chris Clifton:
Privacy-Preserving Outlier Detection.
233-240
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- Jianyong Wang, George Karypis:
SUMMARY: Efficiently Summarizing Transactions for Clustering.
241-248
Electronic Edition (link) BibTeX
- Ke Wang, Philip S. Yu, Sourav Chakraborty:
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection.
249-256
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- Tak-Lam Wong, Wai Lam:
A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes.
257-264
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- Gang Wu, Edward Y. Chang:
Aligning Boundary in Kernel Space for Learning Imbalanced Dataset.
265-272
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- 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
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- Feng Zhang:
A Polygonal Line Algorithm based Nonlinear Feature Extraction Method.
281-288
Electronic Edition (link) BibTeX
- Jun Zhang, Vasant Honavar:
AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data.
289-296
Electronic Edition (link) BibTeX
- Xingquan Zhu, Xindong Wu:
Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.
297-304
Electronic Edition (link) BibTeX
- Xingquan Zhu, Xindong Wu, Ying Yang:
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.
305-312
Electronic Edition (link) BibTeX
Short Papers
- Hamad Alhammady, Kotagiri Ramamohanarao:
Using Emerging Patterns and Decision Trees in Rare-Class Classification.
315-318
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- Alexessander Alves, Rui Camacho, Eugenio Oliveira:
Discovery of Functional Relationships in Multi-Relational Data using Inductive Logic Programming.
319-322
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- Andrew Arnt, Shlomo Zilberstein:
Attribute Measurement Policies for Time and Cost Sensitive Classification.
323-326
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- Michael Baranski, Jürgen Voss:
Detecting Patterns of Appliances from Total Load Data Using a Dynamic Programming Approach.
327-330
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- Stephan Bloehdorn, Andreas Hotho:
Text Classification by Boosting Weak Learners based on Terms and Concepts.
331-334
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- Björn Bringmann:
Matching in Frequent Tree Discovery.
335-338
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- Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales:
A Biobjective Model to Select Features with Good Classification Quality and Low Cost.
339-342
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- Yi Chen, Liang Huai Yang, Yu Guo Wang:
Incremental Mining of Frequent XML Query Pattern.
343-346
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- Shalendra Chhabra, William S. Yerazunis, Christian Siefkes:
Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas.
347-350
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- Fang Chu, Yizhou Wang, Carlo Zaniolo:
An Adaptive Learning Approach for Noisy Data Streams.
351-354
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- Amanda Clare, Hugh E. Williams, Nicholas Lester:
Scalable Multi-Relational Association Mining.
355-358
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- Frans Coenen, Paul H. Leng:
An Evaluation of Approaches to Classification Rule Selection.
359-362
Electronic Edition (link) BibTeX
- Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Feng Pan:
Mining Frequent Closed Patterns in Microarray Data.
363-366
Electronic Edition (link) BibTeX
- Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen:
Clustering on Demand for Multiple Data Streams.
367-370
Electronic Edition (link) BibTeX
- Margaret H. Dunham, Yu Meng, Jie Huang:
Extensible Markov Model.
371-374
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- Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta:
Using Representative-Based Clustering for Nearest Neighbor Dataset Editing.
375-378
Electronic Edition (link) BibTeX
- Wei Fan, Yi-an Huang, Philip S. Yu:
Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams.
379-382
Electronic Edition (link) BibTeX
- Pierre Geurts, Ibtissam El Khayat, Guy Leduc:
A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks.
383-386
Electronic Edition (link) BibTeX
- Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy:
LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets.
387-390
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- David Gleich, Leonid Zhukov:
SVD based Term Suggestion and Ranking System.
391-394
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- Paolo Ferragina, Antonio Gulli:
The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book Snippets.
395-398
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- Yiqiu Han, Wai Lam:
Query-Driven Support Pattern Discovery for Classification Learning.
399-402
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- Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello:
Evolutionary Algorithms for Clustering Gene-Expression Data.
403-406
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- 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
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- Ye Huang, Paul J. McCullagh, Norman D. Black:
Feature Selection via Supervised Model Construction.
411-414
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- Akihiro Inokuchi:
Mining Generalized Substructures from a Set of Labeled Graphs.
415-418
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- Tianyi Jiang, Alexander Tuzhilin:
Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals.
419-422
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- Toshihiro Kamishima, Shotaro Akaho:
Filling-in Missing Objects in Orders.
423-426
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- Hillol Kargupta, Haimonti Dutta:
Orthogonal Decision Trees.
427-430
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- Mehmet Kaya, Reda Alhajj:
ntegrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules Mining.
431-434
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- Hyungil Kim, Juntae Kim, Jonathan L. Herlocker:
Feature-Based Prediction of Unknown Preferences for Nearest-Neighbor Collaborative Filtering.
435-438
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- Michihiro Kuramochi, George Karypis:
GREW-A Scalable Frequent Subgraph Discovery Algorithm.
439-442
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- Chih Lai, Nga T. Nguyen:
Predicting Density-Based Spatial Clusters Over Time.
443-446
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- 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
Electronic Edition (link) BibTeX
- Tao Li, Sheng Ma:
Mining Temporal Patterns Without Predefined Time Windows.
451-454
Electronic Edition (link) BibTeX
- Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong:
Classifying Biomedical Citations without Labeled Training Examples.
455-458
Electronic Edition (link) BibTeX
- David G. Lindsay, Siân Cox:
Improving the Reliability of Decision Tree and Naive Bayes Learners.
459-462
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- Jinze Liu, Karl Strohmaier, Wei Wang:
Revealing True Subspace Clusters in High Dimensions.
463-466
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- Daoying Ma, Aidong Zhang:
An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise.
467-470
Electronic Edition (link) BibTeX
- Xi Ma, HweeHwa Pang, Kian-Lee Tan:
Finding Constrained Frequent Episodes Using Minimal Occurrences.
471-474
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- Sandeep Mane, Jaideep Srivastava, San-Yih Hwang, Jamshid A. Vayghan:
Estimation of False Negatives in Classification.
475-478
Electronic Edition (link) BibTeX
- Sameep Mehta, Srinivasan Parthasarathy, Hui Yang:
Correlation Preserving Discretization.
479-482
Electronic Edition (link) BibTeX
- Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney:
Active Feature-Value Acquisition for Classifier Induction.
483-486
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- Da Meng, Krishnamoorthy Sivakumar, Hillol Kargupta:
Privacy-Sensitive Bayesian Network Parameter Learning.
487-490
Electronic Edition (link) BibTeX
- Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos:
MMSS: Multi-Modal Story-Oriented Video Summarization.
491-494
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- Cheong Hee Park, Haesun Park, Panos M. Pardalos:
A Comparative Study of Linear and Nonlinear Feature Extraction Methods.
495-498
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- François Poulet:
SVM and Graphical Algorithms: A Cooperative Approach.
499-502
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- Dongmei Ren, Baoying Wang, William Perrizo:
RDF: A Density-Based Outlier Detection Method using Vertical Data Representation.
503-506
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- Ulrich Rückert, Lothar Richter, Stefan Kramer:
Quantitative Association Rules Based on Half-Spaces: An Optimization Approach.
507-510
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- Marko Salmenkivi:
Evaluating Attraction in Spatial Point Patterns with an Application in the Field of Cultural History.
511-514
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- Dawit Yimam Seid, Sharad Mehrotra:
Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes.
515-518
Electronic Edition (link) BibTeX
- Yi-Dong Shen, Zhiyong Shen, Shi-Ming Zhang, Qiang Yang:
Cluster Cores-Based Clustering for High Dimensional Data.
519-522
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- Dan A. Simovici, Namita Singla, Michael Kuperberg:
Metric Incremental Clustering of Nominal Data.
523-526
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- Nenad Stojanovic:
n Ranking Refinements in the Step-by-Step Searching through a Product Catalogue.
527-530
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- Jiang Su, Harry Zhang:
Learning Conditional Independence Tree for Ranking.
531-534
Electronic Edition (link) BibTeX
- 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
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- Ping Sun:
Sparse Kernel Least Squares Classifier.
539-542
Electronic Edition (link) BibTeX
- Alexandre Termier, Marie-Christine Rousset, Michèle Sebag:
DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases.
543-546
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- Andrei L. Turinsky, Robert L. Grossman:
A Greedy Algorithm for Selecting Models in Ensembles.
547-550
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- Juan D. Velásquez, Alejandro Bassi, Hiroshi Yasuda, Terumasa Aoki:
Mining Web Data to Create Online Navigation Recommendations.
551-554
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- Véronique Ventos, Henry Soldano, Thibaut Lamadon:
Alpha Galois Lattices.
555-558
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- Jiong Yang, Wei Wang:
AGILE: A General Approach to Detect Transitions in Evolving Data Streams.
559-562
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- Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han:
Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining.
563-566
Electronic Edition (link) BibTeX
- Harry Zhang, Shengli Sheng:
Learning Weighted Naive Bayes with Accurate Ranking.
567-570
Electronic Edition (link) BibTeX
- Jianping Zhang, Eric Bloedorn, Lowell Rosen, Daniel Venese:
Learning Rules from Highly Unbalanced Data Sets.
571-574
Electronic Edition (link) BibTeX
- Ning Zhong, Chunnian Liu, Yiyu Yao, Muneaki Ohshima, Mingxin Huang, Jiajin Huang:
Relational Peculiarity Oriented Data Mining.
575-578
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:18:55 2009
by Michael Ley (ley@uni-trier.de)
