3. ICDM 2003: Melbourne, Florida, USA

Research-Track Regular Papers

• Amihood Amir, Reuven Kashi, Nathan S. Netanyahu:
  Efficient Multidimensional Quantitative Hypotheses Generation. 3-10
  
• Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
  ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint. 11-18
  
• Raymond Chan, Qiang Yang, Yi-Dong Shen:
  Mining High Utility Itemsets. 19-26
  
• Fabien De Marchi, Jean-Marc Petit:
  Zigzag: a new algorithm for mining large inclusion dependencies in database. 27-34
  
• Mukund Deshpande, Michihiro Kuramochi, George Karypis:
  Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds. 35-42
  
• Joseph Elble, Cinda Heeren, Leonard Pitt:
  Optimized Disjunctive Association Rules via Sampling. 43-50
  
• Wei Fan, Haixun Wang, Philip S. Yu, Sheng Ma:
  Is random model better? On its accuracy and efficiency. 51-58
  
• Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov:
  Identifying Markov Blankets with Decision Tree Induction. 59-66
  
• Robert Gwadera, Mikhail J. Atallah, Wojciech Szpankowski:
  Reliable Detection of Episodes in Event Sequences. 67-74
  
• Chihli Hung, Stefan Wermter:
  A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. 75-82
  
• Akihiro Inokuchi, Hisashi Kashima:
  Mining Significant Pairs of Patterns from Graph Structures with Class Labels. 83-90
  
• Huidong Jin, Man Leung Wong, Kwong-Sak Leung:
  Scalable Model-based Clustering by Working on Data Summaries. 91-98
  
• Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamoorthy Sivakumar:
  On the Privacy Preserving Properties of Random Data Perturbation Techniques. 99-106
  
• Kawamae Noriaki, Takeya Mukaigaito, Hanaki Miyoshi:
  Semantic Log Analysis Based on a User Query Behavior Model. 107-114
  
• Eamonn J. Keogh, Jessica Lin, Wagner Truppel:
  Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. 115-122
  
• Jeremy Z. Kolter, Marcus A. Maloof:
  Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift. 123-130
  
• Jeremy Kubica, Andrew W. Moore:
  Probabilistic Noise Identification and Data Cleaning. 131-138
  
• Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma:
  Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. 139-146
  
• Sau Dan Lee, Luc De Raedt:
  An Algebra for Inductive Query Evaluation. 147-154
  
• Jiuyong Li, Yanchun Zhang:
  Direct Interesting Rule Generation. 155-162
  
• Qi Li, Jieping Ye, Chandra Kambhamettu:
  Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. 163-170
  
• Shou-de Lin, Hans Chalupsky:
  Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis. 171-178
  
• Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
  Building Text Classifiers Using Positive and Unlabeled Examples. 179-188
  
• Jinze Liu, Wei Wang:
  OP-Cluster: Clustering by Tendency in High Dimensional Space. 187-194
  
• Levon Lloyd, Steven Skiena:
  Parsing Without a Grammar: Making Sense of Unknown File Formats. 195-202
  
• Eren Manavoglu, Dmitry Pavlov, C. Lee Giles:
  Probabilistic User Behavior Models. 203-210
  
• Srujana Merugu, Joydeep Ghosh:
  Privacy-preserving Distributed Clustering using Generative Models. 211-218
  
• Taneli Mielikäinen:
  Change Profiles. 219-226
  
• Robert Munro, Sanjay Chawla, Pei Sun:
  Complex Spatial Relationships. 227-234
  
• Olfa Nasraoui, Cesar Cardona Uribe, Carlos Rojas Coronel, Fabio A. González:
  TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model. 235-242
  
• Cheong Hee Park, Haesun Park:
  Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. 243-250
  
• Dmitry Pavlov:
  Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions. 251-258
  
• Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu:
  MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. 259-266
  
• Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Zoran Obradovic:
  Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. 267-274
  
• Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock:
  Statistical Relational Learning for Document Mining. 275-282
  
• Saharon Rosset, Einat Neumann:
  Integrating Customer Value Considerations into Predictive Modeling. 283-290
  
• Assaf Schuster, Ran Wolff, Dan Trock:
  A High-Performance Distributed Algorithm for Mining Association Rules. 291-298
  
• Xingzhi Sun, Maria E. Orlowska, Xue Li:
  Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences. 299-306
  
• Zehang Sun, George Bebis, Ronald Miller:
  Evolutionary Gabor Filter Optimization with Application to Vehicle Detection. 307-314
  
• Einoshin Suzuki, Takeshi Watanabe, Hideto Yokoi, Katsuhiko Takabayashi:
  Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. 315-322
  
• Fengzhan Tian, Hongwei Zhang, Yuchang Lu:
  Learning Bayesian Networks from Incomplete Data Based on EMI Method. 323-330
  
• Alexander P. Topchy, Anil K. Jain, William F. Punch:
  Combining Multiple Weak Clusterings. 331-338
  
• Shusaku Tsumoto, Shoji Hirano:
  Visualization of Rule's Similarity using Multidimensional Scaling. 339-346
  
• Petre Tzvetkov, Xifeng Yan, Jiawei Han:
  TSP: Mining Top-K Closed Sequential Patterns. 347-354
  
• Jörg A. Walter, Jörg Ontrup, Daniel Wessling, Helge Ritter:
  Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space. 355-362
  
• Ran Wolff, Assaf Schuster:
  Association Rule Mining in Peer-to-Peer Systems. 363-370
  
• Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang:
  MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations. 371-378
  
• Yongqiao Xiao, Jenq-Foung Yao, Zhigang Li, Margaret H. Dunham:
  Efficient Data Mining for Maximal Frequent Subtrees. 379-386
  
• Hui Xiong, Pang-Ning Tan, Vipin Kumar:
  Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. 387-394
  
• Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan:
  On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources. 395-402
  
• Qiang Yang, Hong Cheng:
  Mining Plans for Customer-Class Transformation. 403-410
  
• Yinghui Yang, Balaji Padmanabhan:
  Segmenting Customer Transactions Using a Pattern-Based Clustering Approach. 411-418
  
• Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park:
  A new optimization criterion for generalized discriminant analysis on undersampled problems. 419-426
  
• Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, Wayne Niblack:
  Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques. 427-434
  
• Bianca Zadrozny, John Langford, Naoki Abe:
  Cost-Sensitive Learning by Cost-Proportionate Example Weighting. 435-
  
• Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu, Wei-Ying Ma:
  CBC: Clustering Based Text Classification Requiring Minimal Labeled Data. 443-450
  
• Bin Zhang:
  Regression Clustering. 451-
  

Research-Track Short Papers

• Reda Alhajj, Mehmet Kaya:
  Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining. 469-472
  
• Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk:
  Analyzing High-Dimensional Data by Subspace Validity. 473-476
  
• Aijun An, Shakil M. Khan, Xiangji Huang:
  Objective and Subjective Algorithms for Grouping Association Rules. 477-480
  
• Tassos Argyros, Charis Ermopoulos:
  Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude Transformations. 481-484
  
• James Bailey, Thomas Manoukian, Kotagiri Ramamohanarao:
  A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns. 485-488
  
• Daniel Barbará, Carlotta Domeniconi, Ning Kang:
  Mining Relevant Text from Unlabelled Documents. 489-492
  
• Julien Blanchard, Fabrice Guillet, Henri Briand:
  A User-driven and Quality-oriented Visualization for Mining Association Rules. 493-496
  
• Doina Caragea, Dianne Cook, Vasant Honavar:
  Towards Simple, Easy-to-Understand, yet Accurate Classifiers. 497-500
  
• Keke Chen, Ling Liu:
  Validating and Refining Clusters via Visual Rendering. 501-504
  
• Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon:
  Icon-based Visualization of Large High-Dimensional Datasets. 505-508
  
• Yun Chi, Yirong Yang, Richard R. Muntz:
  Indexing and Mining Free Trees. 509-512
  
• Frans Coenen, Paul H. Leng, Shakil Ahmed:
  T-Trees, Vertical Partitioning and Distributed Association Rule Mining. 513-516
  
• Inderjit S. Dhillon, Yuqiang Guan:
  Information Theoretic Clustering of Sparse Co-Occurrence Data. 517-520
  
• François Fouss, Marco Saerens, Jean-Michel Renders:
  Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. 521-524
  
• Pasi Fränti, Olli Virmajoki, Ville Hautamäki:
  Fast PNN-based Clustering Using K-nearest Neighbor Graph. 525-528
  
• J. W. Guan, David A. Bell, Dayou Liu:
  The Rough Set Approach to Association Rule Mining. 529-532
  
• Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich:
  Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. 533-536
  
• Edwin O. Heierman III, Diane J. Cook:
  Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns. 537-540
  
• Andreas Hotho, Steffen Staab, Gerd Stumme:
  Ontologies Improve Text Document Clustering. 541-544
  
• Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang:
  The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation. 545-548
  
• Jun Huan, Wei Wang, Jan Prins:
  Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism. 549-552
  
• Jin Huang, Jingjing Lu, Charles X. Ling:
  Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. 553-556
  
• Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahmad:
  SVM Based Models for Predicting Foreign Currency Exchange Rates. 557-560
  
• Mehmet Kaya, Reda Alhajj:
  Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering. 561-564
  
• Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
  PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. 565-568
  
• Mark-A. Krogel, Tobias Scheffer:
  Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes. 569-572
  
• Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider:
  Tractable Group Detection on Large Link Data Sets. 573-576
  
• Longin Jan Latecki, Rajagopal Venugopal, Marc Sobel, Steve Horvat:
  Tree-structured Partitioning Based on Splitting Histograms of Distances. 577-580
  
• Young-Koo Lee, Won-Young Kim, Y. Dora Cai, Jiawei Han:
  CoMine: Efficient Mining of Correlated Patterns. 581-584
  
• Jinyan Li, Huiqing Liu:
  Ensembles of Cascading Trees. 585-588
  
• Tao Li, Shenghuo Zhu, Mitsunori Ogihara:
  Using Discriminant Analysis for Multi-class Classification. 589-592
  
• Yuefeng Li, Ning Zhong:
  Interpretations of Association Rules by Granular Computing. 593-596
  
• Chang-Tien Lu, Dechang Chen, Yufeng Kou:
  Algorithms for Spatial Outlier Detection. 597-600
  
• Matthew V. Mahoney, Philip K. Chan:
  Learning Rules for Anomaly Detection of Hostile Network Traffic. 601-604
  
• Frédéric Maire:
  An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines. 605-608
  
• Jennifer Neville, David Jensen, Brian Gallagher:
  Simple Estimators for Relational Bayesian Classifiers. 609-612
  
• Stanley R. M. Oliveira, Osmar R. Zaïane:
  Protecting Sensitive Knowledge By Data Sanitization. 613-616
  
• Matthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr.:
  Mining Frequent Itemsets in Distributed and Dynamic Databases. 617-620
  
• Hanchuan Peng, Chris H. Q. Ding:
  Structure Search and Stability Enhancement of Bayesian Networks. 621-624
  
• Huseyin Polat, Wenliang Du:
  Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques. 625-628
  
• Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James H. Martin, Daniel Jurafsky:
  Semantic Role Parsing: Adding Semantic Structure to Unstructured Text. 629-632
  
• Kanagasabai Rajaraman, Ah-Hwee Tan:
  Mining Semantic Networks for Knowledge Discovery. 633-636
  
• Michèle Sebag, Jérôme Azé, Noël Lucas:
  Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning. 637-640
  
• Tomoyuki Shibata, Takekazu Kato, Toshikazu Wada:
  K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier. 641-644
  
• Raz Tamir, Reinhard Rapp:
  Mining the Web to Discover the Meanings of an Ambiguous Word. 645-648
  
• Horia-Nicolai L. Teodorescu, Lucian Iulian Fira:
  A Hybrid Data-Mining Approach in Genomics and Text Structures. 649-652
  
• Kai Ming Ting, Regina Jing Ying Quek:
  Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distribution. 653-656
  
• Jyh-Jong Tsay, Hsuan-Yu Chen, Chi-Feng Chang, Ching-Han Lin:
  Enhancing Techniques for Efficient Topic Hierarchy Integration. 657-660
  
• Shusaku Tsumoto, Shoji Hirano:
  Pattern Discovery based on Rule Induction and Taxonomy Generation. 661-664
  
• Sriharsha Veeramachaneni, Paolo Avesani:
  Active Sampling for Feature Selection. 665-668
  
• Juan D. Velásquez, Hiroshi Yasuda, Terumasa Aoki:
  Combining the web content and usage mining to understand the visitor behavior in a web site. 669-672
  
• Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick:
  Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. 673-676
  
• Lemuel R. Waitman, Douglas H. Fisher, Paul H. King:
  Bootstrapping Rule Induction. 677-680
  
• Arkadiusz Wojna:
  Center-Based Indexing for Nearest Neighbors Search. 681-684
  
• Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen:
  Postprocessing Decision Trees to Extract Actionable Knowledge. 685-688
  
• Man Lung Yiu, Nikos Mamoulis:
  Frequent-Pattern based Iterative Projected Clustering. 689-692
  
• Hwanjo Yu:
  General MC: Estimating Boundary of Positive Class from Small Positive Data. 693-696
  
• Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
  Clustering Item Data Sets with Association-Taxonomy Similarity. 697-700
  
• Peng Zhang, Jing Peng, Carlotta Domeniconi:
  Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. 701-704
  
• Zhaohui Zheng, Rohini K. Srihari, Sargur N. Srihari:
  A Feature Selection Framework for Text Filtering. 705-708
  
• Hongwei Zhu, Otman A. Basir:
  A K-NN Associated Fuzzy Evidential Reasoning Classifier with Adaptive Neighbor Selection. 709-
  

Industry-Track Papers

• Frank Dellmann, Holger Wulff, Stefan Schmitz:
  Findings from a Practical Project Concerning Web Usage Mining. 715-718
  
• Qinghua Guo, Maggi Kelly, Catherine Graham:
  Predicting distribution of a new forest disease using one-class SVMs. 719-722
  
• Rajat Gupta, B. V. L. Narayana, P. Krishna Reddy, G. V. Ranga Rao, C. L. L. Gowda, Y. V. R. Reddy, Garimella Rama Murthy:
  Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural Networks. 723-726
  
• Jutta Kreyß, Steve Selvaggio, Michael White, Zach Zakharian:
  Text Mining for a Clear Picture of Defect Reports: A Praxis Report. 727-730
  
• Mingkun Li, Shuo Feng, Ishwar K. Sethi, Jason Luciow, Keith Wagner:
  Mining Production Data with Neural Network & CART. 731-734
  
• Byung-Hoon Park, George Ostrouchov, Gong-Xin Yu, Al Geist, Andrey Gorin, Nagiza F. Samatova:
  Inference of Protein-Protein Interactions by Unlikely Profile Pair. 735-738
  
• Tu Minh Phuong, Doheon Lee, Kwang Hyung Lee:
  Regulatory Element Discovery Using Tree-structured Models. 739-742
  
• Choh-Man Teng:
  Applying Noise Handling Techniques to Genomic Data: A Case Study. 743-746
  
• Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
  Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization. 747-