Abstract is missing.
- KDD as an Enterprise IT Tool: Reality and Agenda (Abstract)Won Kim. 1 [doi]
- Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract)Hiroshi Motoda. 2 [doi]
- Data Mining - a Rough Set PerspectiveZdzislaw Pawlak. 3-12 [doi]
- Data Mining Techniques for Associations, Clustering and ClassificationCharu C. Aggarwal, Philip S. Yu. 13-23 [doi]
- Data Mining: Granular Computing ApproachTsau Young Lin. 24-33 [doi]
- Rule Extraction from Prediction ModelsHiroshi Tsukimoto. 34-43 [doi]
- Mining Association Rules on Related Numeric AttributesXiaoyong Du, Zhibin Liu, Naohiro Ishii. 44-53 [doi]
- LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule MiningChi Lap Yip, K. K. Loo, Ben Kao, David Wai-Lok Cheung, C. K. Cheng. 54-63 [doi]
- Extending the Applicability of Association RulesKarthick Rajamani, Sam Yuan Sung, Alan L. Cox. 64-73 [doi]
- An Efficient Approach for Incremental Association Rule MiningPauray S. M. Tsai, Chih-Chong Lee, Arbee L. P. Chen. 74-83 [doi]
- Association Rules in Incomplete DatabasesMarzena Kryszkiewicz. 84-93 [doi]
- Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C ImplementationIko Pramudiono, Takahiko Shintani, Takayuki Tamura, Masaru Kitsuregawa. 94-98 [doi]
- H-Rule Mining in Heterogeneous DatabasesYuping Yang, Mukesh Singhal. 99-103 [doi]
- An Improved Definition of Multidimensional Inter-transaction Association RuleAoying Zhou, Shuigeng Zhou, Wen Jin, Zengping Tian. 104-108 [doi]
- Incremental Discovering Association Rules: A Concept Lattice ApproachKeyun Hu, Yuchang Lu, Chunyi Shi. 109-113 [doi]
- Induction as Pre-processingXindong Wu. 114-122 [doi]
- Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer CommitteesZijian Zheng, Geoffrey I. Webb. 123-132 [doi]
- On Information-Theoretic Measures of Attribute ImportanceYiyu Yao, S. K. Michael Wong, Cory J. Butz. 133-137 [doi]
- A Technique of Dynamic Feature Selection Using the Feature Group Mutual InformationKee Cheol Lee. 138-142 [doi]
- A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision TreeMasahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda. 143-147 [doi]
- An Algorithm for Constrained Association Rule Mining in Semi-structured DataLisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann. 148-158 [doi]
- Incremental Mining of Schema for Semistructured DataAoying Zhou, Wen Jin, Shuigeng Zhou, Zengping Tian. 159-168 [doi]
- Discovering Structure from Document DatabasesMon-Fong Jiang, Shian-Shyong Tseng, Chang-Jiun Tsai. 169-173 [doi]
- Combining Forecasts from Multiple Textual Data SourcesVincent Cho, Beat Wüthrich. 174-178 [doi]
- Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiqlXiaofeng Meng, Yong Zhou, Shan Wang. 179-183 [doi]
- Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting DiscoveriesGraham J. Williams. 184-193 [doi]
- Efficient Search of Reliable ExceptionsHuan Liu, Hongjun Lu, Ling Feng, Farhad Hussain. 194-203 [doi]
- Heuristic for Ranking the Interestigness of Discovered KnowledgeRobert J. Hilderman, Howard J. Hamilton. 204-209 [doi]
- Automated Discovery of Plausible Rules Based on Rough Sets and Rough InclusionShusaku Tsumoto. 210-219 [doi]
- Discernibility System in Rough SetsZongtian Liu, Zhipeng Xie. 220-227 [doi]
- Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its SecretsAndreas Rauber, Dieter Merkl. 228-237 [doi]
- Neural Network Based Classifers for a Vast Amount of DataLing Zhang, Bo Zhang. 238-246 [doi]
- Accuracy Tuning on Combinatorial Neural ModelHércules Antonio do Prado, Karla F. Machado, Sandra R. Frigeri, Paulo Martins Engel. 247-251 [doi]
- A Situated Information Articulation Neural Network: VSF NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. 252-257 [doi]
- Neural Method for Detection of Complex Patterns in DatabasesChao Deng, Fanlun Xiong. 258-262 [doi]
- Preserve Discovered Linguistic Patterns Valid in Volatility Data EnvironmentXuemei Shi, Man-chung Chan, Deyi Li. 263-267 [doi]
- An Induction Algorithm Based on Fuzzy Logic ProgrammingDaisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui, Hidenori Itoh. 268-273 [doi]
- Rule Discovery in Databases with Missing Values Based on Rough Set ModelShusaku Tsumoto. 274-278 [doi]
- Sustainability Knowledge Mining from Human Development DatabaseXuefei Wang, Rusong Wang, Jue Wang. 279-283 [doi]
- Characterization of Default Knowledge in Ripple Down Rules MethodTakuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. 284-295 [doi]
- Improving the Performance of Boosting for Naive Bayesian ClassificationKai Ming Ting, Zijian Zheng. 296-305 [doi]
- Convex Hulls in Concept InductionDouglas A. Newlands, Geoffrey I. Webb. 306-316 [doi]
- Mining Classification Knowledge Based on Cloud ModelsJianhua Fan, Deyi Li. 317-326 [doi]
- Robust Clustering of Large Geo-referenced Data SetsVladimir Estivill-Castro, Michael E. Houle. 327-337 [doi]
- A Fast Algorithm for Density-Based Clustering in Large DatabaseBo Zhou, David Wai-Lok Cheung, Ben Kao. 338-349 [doi]
- A Lazy Model-Based Algorithm for On-Line ClassificationGabor Melli. 350-354 [doi]
- An Efficient Space-Partitioning Based Algorithm for the K-Means ClusteringKhaled Alsabti, Sanjay Ranka, Vineet Singh. 355-359 [doi]
- A Fast Clustering Process for Outliers and Remainder ClustersChih-Ming Su, Shian-Shyong Tseng, Mon-Fong Jiang, Joe C. S. Chen. 360-364 [doi]
- Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification ProblemHongxing He, Simon Hawkins. 365-369 [doi]
- Classifying Unseen Cases with Many Missing ValuesZijian Zheng, Boon Toh Low. 370-374 [doi]
- Study of a Mixed Similarity Measure for Classification and ClusteringTu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita. 375-379 [doi]
- Visually Aided Exploration of Interesting Association RulesBing Liu, Wynne Hsu, Ke Wang, Shu Chen. 380-389 [doi]
- DVIZ: A System for Visualizing Data MiningJianchao Han, Nick Cercone. 390-399 [doi]
- A Minimal Causal Model LearnerHonghua Dai. 400-408 [doi]
- Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large DatabasesK. L. Lee, Guanling Lee, Arbee L. P. Chen. 409-419 [doi]
- Basket Analysis for Graph Structured DataAkihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai. 420-431 [doi]
- The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure PriorsJulian R. Neil, Kevin B. Korb. 432-437 [doi]
- KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph SystemTetsuhiro Miyahara, Tomoyuki Uchida, Tetsuji Kuboyama, Tasuya Yamamoto, Kenichi Takahashi, Hiroaki Ueda. 438-442 [doi]
- Probing Knowledge in Distributed Data MiningYike Guo, Janjao Sutiwaraphun. 443-452 [doi]
- Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous DatabasesZbigniew W. Ras, Jan M. Zytkow. 453-463 [doi]
- The Data-Mining and the Technology af Agents to Fight the Illicit Electronic MessagesDjamel A. Zighed, Myriam Côté, Nader Troudi. 464-468 [doi]
- Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the WebHongen Lu, Leon Sterling, Alex Wyatt. 469-473 [doi]
- Event Mining with Event Processing NetworksLouis Perrochon, Walter Mann, Stephane Kasriel, David C. Luckham. 474-478 [doi]
- An Analysis of Quantitative Measures Associated with RulesYiyu Yao, Ning Zhong. 479-488 [doi]
- A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery (Extended Abstract)Jingde Cheng. 489-493 [doi]
- Discovering Conceptual Differences among Different People via Diverse StructuresTetsuya Yoshida, Teruyuki Kondo, Shogo Nishida. 494-498 [doi]
- Ordered Estimation of Missing ValuesOscar Ortega Lobo, Masayuki Numao. 499-503 [doi]
- Prediction Rule Discovery Based on Dynamic Bias SelectionEinoshin Suzuki, Toru Ohno. 504-508 [doi]
- Discretization of Continuous Attributes for Learning Classification RulesAijun An, Nick Cercone. 509-514 [doi]
- BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in DatabasesSadok Ben Yahia, Ali Jaoua. 515-519 [doi]
- Mining Functional Dependency Rule of Relational DatabaseXiaopeng Tao, Ning Wang, Shuigeng Zhou, Aoying Zhou, Yunfa Hu. 520-524 [doi]
- Time-Series Prediction with Cloud Models in DMKDRong Jiang, Deyi Li, Hui Chen. 525-529 [doi]