Table of Contents

• Data Mining as an Automated ServicePaul S. Bradley. 1-13 [doi]
• Trends and Challenges in the Industrial Applications of KDDRamasamy Uthurusamy. 14 [doi]
• Finding Event-Oriented Patterns in Long Temporal SequencesXingzhi Sun, Maria E. Orlowska, Xiaofang Zhou. 15-26 [doi]
• Mining Frequent Episodes for Relating Financial Events and Stock TrendsAnny Ng, Ada Wai-Chee Fu. 27-39 [doi]
• An Efficient Algorithm of Frequent Connected Subgraph ExtractionMingsheng Hong, Haofeng Zhou, Wei Wang, Baile Shi. 40-51 [doi]
• Classifier Construction by Graph-Based Induction for Graph-Structured DataWarodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. 52-62 [doi]
• Comparison of the Performance of Center-Based Clustering AlgorithmsBin Zhang. 63-74 [doi]
• Automatic Extraction of Clusters from Hierarchical Clustering RepresentationsJörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky. 75-87 [doi]
• Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic InformationSeong-Bae Park, Byoung-Tak Zhang. 88-99 [doi]
• Extracting Shared Topics of Multiple DocumentsXiang Ji, Hongyuan Zha. 100-110 [doi]
• An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge AcquisitionYuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang. 111-116 [doi]
• A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual DataTianhao Wu, William M. Pottenger. 117-123 [doi]
• Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association RulesAnnie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim G. Hoffmann, Johanna Westbrook, Tatjana Zrimec. 124-135 [doi]
• Predicting Protein Structural Class from Closed Protein SequencesN. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai. 136-147 [doi]
• Learning Rules to Extract Protein Interactions from Biomedical TextTu Minh Phuong, Doheon Lee, Hyung Lee-Kwang. 148-158 [doi]
• Predicting Protein Interactions in Human by Homologous Interactions in YeastHyongguen Kim, Jong Park, Kyungsook Han. 159-165 [doi]
• Mining the Customer s Up-To-Moment Preferences for E-commerce RecommendationYi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu. 166-177 [doi]
• A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association RulesEdmond HaoCun Wu, Michael K. Ng. 178-190 [doi]
• A Markovian Approach for Web User Profiling and ClusteringYounes Hafri, Chabane Djeraba, Peter L. Stanchev, Bruno Bachimont. 191-202 [doi]
• Extracting User Interests from Bookmarks on the WebJason J. Jung, GeunSik Jo. 203-208 [doi]
• Mining Frequent Instances on WorkflowsGianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà. 209-221 [doi]
• Real Time Video Data Mining for Surveillance Video StreamsJung-Hwan Oh, JeongKyu Lee, Sanjaykumar Kote. 222-233 [doi]
• Distinguishing Causal and Acausal Temporal RelationsKamran Karimi, Howard J. Hamilton. 234-240 [doi]
• Online Bayes Point MachinesEdward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson. 241-252 [doi]
• Exploiting Hierarchical Domain Values for Bayesian LearningYiqiu Han, Wai Lam. 253-264 [doi]
• A New Restricted Bayesian Network ClassifierHongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang. 265-270 [doi]
• AGRID: An Efficient Algorithm for Clustering Large High-Dimensional DatasetsYanchang Zhao, Song Junde. 271-282 [doi]
• Multi-level Clustering and Reasoning about Its Clusters Using Region Connection CalculusIckjai Lee, Mary-Anne Williams. 283-294 [doi]
• An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional DataJae-Woo Chang. 295-300 [doi]
• Enhancing SWF for Incremental Association Mining by Itemset MaintenanceChia-Hui Chang, Shi-Hsan Yang. 301-312 [doi]
• Reducing Rule Covers with Deterministic Error BoundsVikram Pudi, Jayant R. Haritsa. 313-324 [doi]
• Evolutionary Approach for Mining Association Rules on Dynamic DatabasesP. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik. 325-336 [doi]
• Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern MiningYi Lu, Christie I. Ezeife. 337-349 [doi]
• An Integrated System of Mining HTML Texts and Filtering Structured DocumentsBo-Hyun Yun, Myungeun Lim, Soo-Hyun Park. 350-355 [doi]
• A New Sequential Mining Approach to XML Document Similarity ComputationHo-pong Leung, Korris Fu-Lai Chung, Stephen Chi-fai Chan. 356-362 [doi]
• Optimization of Fuzzy Rules for Classification Using Genetic AlgorithmMyung-Won Kim, Joung Woo Ryu, Samkeun Kim, Joong Geun Lee. 363-375 [doi]
• Fast Pattern Selection for Support Vector ClassifiersHyunjung Shin, Sungzoon Cho. 376-387 [doi]
• Averaged Boosting: A Noise-Robust Ensemble MethodYongdai Kim. 388-393 [doi]
• Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor RuleChenzhou Ye, Jie Yang, Lixiu Yao, Nian-yi Chen. 394-398 [doi]
• HOT: Hypergraph-Based Outlier Test for Categorical DataLi Wei, Weining Qian, Aoying Zhou, Wen Jin, Jeffrey Xu Yu. 399-410 [doi]
• A Method for Aggregating Partitions, Applications in K.D.DPierre-Emmanuel Jouve, Nicolas Nicoloyannis. 411-422 [doi]
• Efficiently Computing Iceberg Cubes with Complex Constraints through BoundingPauline Lienhua Chou, Xiuzhen Zhang. 423-429 [doi]
• Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured DataTetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi, Hiroaki Ueda. 430-436 [doi]
• Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream CubeChao Liu, Ming Zhang, Minrui Zheng, Yixin Chen. 437-448 [doi]
• Progressive Weighted Miner: An Efficient Method for Time-Constraint MiningChang-Hung Lee, Jian Chih Ou, Ming-Syan Chen. 449-460 [doi]
• Mining Open Source Software (OSS) Data Using Association Rules NetworkSanjay Chawla, Bavani Arunasalam, Joseph Davis. 461-466 [doi]
• Parallel FP-Growth on PC ClusterIko Pramudiono, Masaru Kitsuregawa. 467-473 [doi]
• Active Feature Selection Using ClassesHuan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda. 474-485 [doi]
• Electricity Based External Similarity of Categorical AttributesChristopher R. Palmer, Christos Faloutsos. 486-500 [doi]
• Weighted Proportional k-Interval Discretization for Naive-Bayes ClassifiersYing Yang, Geoffrey I. Webb. 501-512 [doi]
• Dealing with Relative Similarity in Clustering: An Indiscernibility Based ApproachShoji Hirano, Shusaku Tsumoto. 513-518 [doi]
• Considering Correlation between Variables to Improve Spatiotemporal ForecastingZhigang Li, Liangang Liu, Margaret H. Dunham. 519-531 [doi]
• Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine ApproachPusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar. 532-544 [doi]
• When to Update the Sequential Patterns of Stream Data?Qingguo Zheng, Ke Xu, Shilong Ma. 545-550 [doi]
• A New Clustering Algorithm for Transaction Data via CaucusJinmei Xu, Hui Xiong, Sam Yuan Sung, Vipin Kumar. 551-562 [doi]
• DBRS: A Density-Based Spatial Clustering Method with Random SamplingXin Wang, Howard J. Hamilton. 563-575 [doi]
• Optimized Clustering for Anomaly Intrusion DetectionSang Hyun Oh, Won Suk Lee. 576-581 [doi]
• Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless CompressionYuko Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura. 582-594 [doi]
• Upgrading ILP Rules to First-Order Bayesian NetworksRatthachat Chatpatanasiri, Boonserm Kijsirikul. 595-601 [doi]
• A Clustering Validity Assessment IndexYoungok Kim, Soowon Lee. 602-608 [doi]