Abstract is missing.
- Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted MarketingNaoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté. 3-10 [doi]
- Investigative Profiling with Computer Forensic Log Data and Association RulesTamas Abraham, Olivier Y. de Vel. 11-18 [doi]
- Text Document Categorization by Term AssociationMaria-Luiza Antonie, Osmar R. Zaïane. 19-26 [doi]
- Online Algorithms for Mining Semi-structured Data StreamTatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Kawasoe, Setsuo Arikawa. 27-34 [doi]
- A Lazy Approach to Pruning Classification RulesElena Baralis, Paolo Garza. 35-42 [doi]
- High Performance Data Mining Using the Nearest Neighbor JoinChristian Böhm, Florian Krebs. 43-50 [doi]
- Mining Molecular Fragments: Finding Relevant Substructures of MoleculesChristian Borgelt, Michael R. Berthold. 51-58 [doi]
- Mining General Temporal Association Rules for Items with Different Exhibition PeriodsCheng-Yue Chang, Ming-Syan Chen, Chang-Hung Lee. 59-66 [doi]
- Learning with Progressive Transductive Support Vector MachineYisong Chen, Guoping Wang, Shihai Dong. 67-74 [doi]
- Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering ApproachShui-Lung Chuang, Lee-Feng Chien. 75-82 [doi]
- Evolutionary Time Series Segmentation for Stock Data MiningKorris Fu-Lai Chung, Tak-Chung Fu, Robert W. P. Luk, Vincent T. Y. Ng. 83-90 [doi]
- Using functional PCA for cardiac motion explorationDenis Clot. 91-98 [doi]
- Unsupervised Segmentation of Categorical Time Series into EpisodesPaul R. Cohen, Brent Heeringa, Niall M. Adams. 99-106 [doi]
- Speed-up Iterative Frequent Itemset Mining with Constraint ChangesGao Cong, Bing Liu. 107-114 [doi]
- Feature Selection for Clustering - A Filter SolutionManoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu. 115-122 [doi]
- A Theory of Inductive Query AnsweringLuc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila. 123-130 [doi]
- Iterative Clustering of High Dimensional Text Data Augmented by Local SearchInderjit S. Dhillon, Yuqiang Guan, J. Kogan. 131-138 [doi]
- Cluster merging and splitting in hierarchical clustering algorithmsChris H. Q. Ding, Xiaofeng He. 139-146 [doi]
- Adaptive dimension reduction for clustering high dimensional dataChris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon. 147-154 [doi]
- Modal-style operators in qualitative data analysisIvo Düntsch, Günther Gediga. 155-162 [doi]
- Progressive ModelingWei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, Salvatore J. Stolfo. 163-170 [doi]
- Unsupervised Clustering of Symbol Strings and Context RecognitionJohn A. Flanagan, Jani Mäntyjärvi, Johan Himberg. 171-178 [doi]
- A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large DatasetsAndrew Foss, Osmar R. Zaïane. 179-186 [doi]
- Discriminative Category Matching: Efficient Text Classification for Huge Document CollectionsGabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu. 187-194 [doi]
- Using Text Mining to Infer Semantic Attributes for Retail Data MiningRayid Ghani, Andrew E. Fano. 195-202 [doi]
- Phrase-based Document Similarity Based on an Index Graph ModelKhaled M. Hammouda, Mohamed S. Kamel. 203-210 [doi]
- Mining Top-K Frequent Closed Patterns without Minimum SupportJiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov. 211-218 [doi]
- Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to MedicineShoji Hirano, Shusaku Tsumoto. 219-226 [doi]
- Mining Generalized Association Rules Using Pruning TechniquesYin-Fu Huang, Chieh-Ming Wu. 227-234 [doi]
- A Formal Model for User PreferenceSung Young Jung, Jeong-Hee Hong, Taek-Soo Kim. 235-242 [doi]
- Convex Hull Ensemble MachineYongdai Kim. 243-249 [doi]
- Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classificationMilos Kovacevic, Michelangelo Diligenti, Marco Gori, Veljko M. Milutinovic. 250-257 [doi]
- Discovering Frequent Geometric SubgraphsMichihiro Kuramochi, George Karypis. 258-265 [doi]
- Adapting classification rule induction to subgroup discoveryNada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski. 266-273 [doi]
- Linear Causal Model Discovery Using the MML criterionGang Li, Honghua Dai, Yiqing Tu. 274-281 [doi]
- Attribute (Feature) Completion - The Theory of Attributes from Data Mining ProspectTsau Young Lin. 282-289 [doi]
- O-Cluster: Scalable Clustering of Large High Dimensional Data SetsBoriana L. Milenova, Marcos M. Campos. 290-297 [doi]
- Employing Discrete Bayes Error rate for discretization and feature selectionAnkush Mittal, Loong Fah Cheong. 298-305 [doi]
- Feature Selection Algorithms: A Survey and Experimental EvaluationLuis Carlos Molina, Lluís Belanche, Àngela Nebot. 306-313 [doi]
- Multivariate supervised discretization, a neighborhood graph approachFabrice Muhlenbach, Ricco Rakotomalala. 314-321 [doi]
- Mining Association Rules from StarsEric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang. 322-329 [doi]
- PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time SeriesTim Oates. 330-337 [doi]
- Adaptive and Resource-Aware Mining of Frequent SetsSalvatore Orlando, Paolo Palmerini, Raffaele Perego, Fabrizio Silvestri. 338-345 [doi]
- A new implementation technique for fast Spectral based document retrieval systemsLaurence A. F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao. 346-353 [doi]
- Efficient Progressive Sampling for Association RulesSrinivasan Parthasarathy. 354-361 [doi]
- Efficient Discovery of Common Substructures in MacromoleculesSrinivasan Parthasarathy, Matt Coatney. 362-369 [doi]
- Mining Motifs in Massive Time Series DatabasesPranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi. 370-377 [doi]
- On Computing Condensed Frequent Pattern BasesJian Pei, Guozhu Dong, Wei Zou, Jiawei Han. 378-385 [doi]
- Automatic Web Page Classification in a Dynamic and Hierarchical WayXiaogang Peng, Ben Choi. 386-393 [doi]
- User-directed Exploration of Mining Space with Multiple AttributesChang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein. 394-401 [doi]
- Mining Significant Associations in Large Scale Text CorporaPrabhakar Raghavan, Panayiotis Tsaparas. 402-409 [doi]
- On a Capacity Control Using Boolean Kernels for the Learning of Boolean FunctionsKen Sadohara. 410-417 [doi]
- SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support ConstraintMasakazu Seno, George Karypis. 418-425 [doi]
- Objective-Oriented Utility-Based Association MiningYi-Dong Shen, Zhong Zhang, Qiang Yang. 426-433 [doi]
- A Self-Organizing Map with Expanding Force for Data Clustering and VisualizationWing-Ho Shum, Huidong Jin, Kwong-Sak Leung, Man Leung Wong. 434-441 [doi]
- On the Mining of Substitution Rules for Statistically Dependent ItemsWei-Guang Teng, Ming-Jyh Hsieh, Ming-Syan Chen. 442-449 [doi]
- TreeFinder: a First Step towards XML Data MiningAlexandre Termier, Marie-Christine Rousset, Michèle Sebag. 450-457 [doi]
- Computing Frequent Graph Patterns from Semistructured DataNatalia Vanetik, Ehud Gudes, Solomon Eyal Shimony. 458-465 [doi]
- Estimating the number of segments in time series data using permutation testsKari Vasko, Hannu Toivonen. 466-473 [doi]
- Predicting Rare Events In Temporal DomainsRicardo Vilalta, Sheng Ma. 474-481 [doi]
- Mining Associations by Pattern Structure in Large Relational TablesHaixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu. 482-489 [doi]
- Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian LearningZhihai Wang, Geoffrey I. Webb. 490-497 [doi]
- A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary ProgrammingMan Leung Wong, Shing Yan Lee, Kwong-Sak Leung. 498-505 [doi]
- Adapting Information Extraction Knowledge For Unseen Web SitesTak-Lam Wong, Wai Lam. 506-513 [doi]
- From Path Tree To Frequent Patterns: A Framework for Mining Frequent PatternsYabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu. 514-521 [doi]
- Mining Case Bases for Action RecommendationQiang Yang, Hong Cheng. 522-529 [doi]
- Adaptive Ripple Down Rules Method based on Minimum Description Length PrincipleTetsuya Yoshida, Hiroshi Motoda, Takashi Washio. 530-537 [doi]
- Heterogeneous Learner for Web Page ClassificationHwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han. 538-545 [doi]
- Using Category-Based Adherence to Cluster Market-Basket DataChing-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen. 546-553 [doi]
- A Comparison Study on Algorithms for Incremental Update of Frequent SequencesMinghua Zhang, Ben Kao, Chi Lap Yip. 554-561 [doi]
- On Active Learning for Data AcquisitionZhiqiang Zheng, Balaji Padmanabhan. 562-569 [doi]
- SmartMiner: A Depth First Algorithm Guided by Tail Information for Mining Maximal Frequent ItemsetsQinghua Zou, Wesley W. Chu, Baojing Lu. 570 [doi]
- Neighborgram Clustering Interactive Exploration of Cluster NeighborhoodsMichael R. Berthold, Bernd Wiswedel, David E. Patterson. 581-584 [doi]
- A New Algorithm for Learning Parameters of a Bayesian Network from Distributed DataR. Chen, Krishnamoorthy Sivakumar. 585-588 [doi]
- Optimal Projections of High Dimensional DataEmilio Corchado, Colin Fyfe. 589-596 [doi]
- Generating an informative cover for association rulesLaurentiu Cristofor, Dan A. Simovici. 597-600 [doi]
- Extraction Techniques for Mining Services from Web SourcesHasan Davulcu, Saikat Mukherjee, I. V. Ramakrishnan. 601-604 [doi]
- Reviewing RELIEF and its Extensions: A new Approach for Estimating Attributes considering high-correlated FeaturesRaquel Flórez López. 605-608 [doi]
- ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough SetsLiqiang Geng, Howard J. Hamilton. 609-612 [doi]
- An Algebraic Approach to Data Mining: Some ExamplesRobert L. Grossman, Richard G. Larson. 613-616 [doi]
- Wavelet Based UXO DetectionStephen Hodgson, Neil Dunstan, R. Murison. 617-620 [doi]
- Ensemble Modeling Through Multiplicative Adjustment of Class ProbabilitySe June Hong, Jonathan R. M. Hosking, Ramesh Natarajan. 621-624 [doi]
- Mining A Set of Coregulated RNA SequencesYuh-Jyh Hu. 625-628 [doi]
- Association Analysis with One Scan of DatabasesHao Huang, Xindong Wu, Richard Relue. 629-632 [doi]
- Implementation of a Least Fixpoint Operator for Fast Mining of Relational DatabasesHasan M. Jamil. 633-636 [doi]
- Considering Both Intra-Pattern and Inter-Pattern Anomalies for Intrusion DetectionNing Jiang, Kien A. Hua, Simon Sheu. 637-640 [doi]
- On Evaluating Performance of Classifiers for Rare ClassesMahesh V. Joshi. 641-644 [doi]
- Learning from Order ExamplesToshihiro Kamishima, Shotaro Akaho. 645-648 [doi]
- A Personalized Music Filtering System Based on Melody Style ClassificationFang-Fei Kuo, Man-Kwan Shan. 649-652 [doi]
- Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging PatternsJinyan Li, Limsoon Wong. 653-656 [doi]
- Improving Medical/Biological Data Classification Performance by Wavelet PreprocessingQi Li, Tao Li, Shenghuo Zhu, Chandra Kambhamettu. 657-660 [doi]
- Progressive and Interactive Analysis of Event Data Using Event MinerSheng Ma, Joseph L. Hellerstein, Chang-Shing Perng, Genady Grabarnik. 661-664 [doi]
- Toward XML-Based Knowledge Discovery SystemsRosa Meo, Giuseppe Psaila. 665-668 [doi]
- Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining TasksBamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa. 669-672 [doi]
- Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient DataJürgen Paetz. 673-676 [doi]
- Exploring Interestingness Through Clustering: A FrameworkSigal Sahar. 677-680 [doi]
- On Incorporating Subjective Interestingness Into the Mining ProcessSigal Sahar. 681-684 [doi]
- Exploring the Parameter State Space of StackingAlexander K. Seewald. 685-688 [doi]
- Mining Associated Implication Networks: Computational Intermarket AnalysisPhilip W. Tse, Jiming Liu. 689-692 [doi]
- Maintenance of Sequential Patterns for Record Modification Using Pre-large SequencesChing-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng. 693-696 [doi]
- Concept Tree Based Clustering Visualization with Shaded Similarity MatricesJun Wang, Bei Yu, Les Gasser. 697-700 [doi]
- Delta B+ Tree: Indexing 3D Point Sets for Pattern DiscoveryXiong Wang. 701-704 [doi]
- An Incremental Approach to Building a Cluster HierarchyDwi H. Widyantoro, Thomas R. Ioerger, John Yen. 705-708 [doi]
- A Comparative Study of RNN for Outlier Detection in Data MiningGraham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu. 709-712 [doi]
- Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text ClassificationHuiwen Wu, Dimitrios Gunopulos. 713-716 [doi]
- Mixtures of ARMA Models for Model-Based Time Series ClusteringYimin Xiong, Dit-Yan Yeung. 717-720 [doi]
- gSpan: Graph-Based Substructure Pattern MiningXifeng Yan, Jiawei Han. 721-724 [doi]
- InfoMiner+: Mining Partial Periodic Patterns with Gap PenaltiesJiong Yang, Wei Wang 0010, Philip S. Yu. 725-728 [doi]
- FD_Mine: Discovering Functional Dependencies in a Database Using EquivalencesHong Yao, Howard J. Hamilton, Cory J. Butz. 729-732 [doi]
- Mining Genes in DNA Using GeneScoutMichael M. Yin, Jason Tsong-Li Wang. 733-736 [doi]
- Clustering Spatial Data when Facing Physical ConstraintsOsmar R. Zaïane, Chi-Hoon Lee. 737-740 [doi]
- Mining Surveillance Video for Independent Motion DetectionZhongfei Zhang. 741-744 [doi]
- Adaptive Parallel Sentences Mining from Web Bilingual News CollectionBing Zhao, Stephan Vogel. 745 [doi]
- Telecommunications Strategic Marketing - KDD and Economic ModelingStefano Cazzella, Luigi Dragone, Stefano Trisolini. 751-754 [doi]
- webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log DataAyhan Demiriz. 755-758 [doi]
- Mining Online Users? Access Records for Web Business IntelligenceSimon Fong, Serena Chan. 759-762 [doi]
- Discovery of Interesting Association Rules from Livelink Web Log DataXiangji Huang, Aijun An, Nick Cercone, Gary Promhouse. 763-766 [doi]
- Mining Optimal Actions for Profitable CRMCharles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng. 767-770 [doi]
- Visually Mining Web User ClickpathsTeresa Mah, Ying Li. 771-774 [doi]
- Experimentation and Self Learning in Continuous Database MarketingJames E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian Garner. 775-778 [doi]
- Demand Forecasting by the Neural Network with Discrete Fourier TransformMariko Yohda, Makiko Saito-Arita, Akira Okada, Ryota Suzuki, Yoshitsugu Kakemoto. 779 [doi]