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ORCID3rd ICDM 2003: Melbourne, Florida, USA
- Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA. IEEE Computer Society 2003, ISBN 0-7695-1978-4
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 J. 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 - Noriaki Kawamae, 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 M. 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 J. 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 JF 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 G. 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 F. 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 D. 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 S. Pradhan, Kadri Hacioglu, Wayne H. 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-
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