| Invited Talks |
| KDD as an Enterprise IT Tool: Reality and Agenda / W. Kim |
| Computer Assisted Discovery of First Principle Equations from Numeric Data / H. Motoda |
| Emerging KDD Technology |
| Data Mining: A Rough Set Perspective / Z. Pawlak |
| Data Mining Techniques for Associations, Clustering and Classification / C. C. Aggarwal ; P. S. Yu |
| Data Mining: Granular Computing Approach / T. Y. Lin |
| Rule Extraction from Prediction Models / H. Tsukimoto |
| Association Rules |
| Mining Association Rules on Related Numeric Attributes / X. Du ; Z.Liu ; N.Ishii |
| LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining / C. L. Yip ; K. K. Loo ; B. Kao ; D. W. Cheung ; C. K. Cheng |
| Extending the Applicability of Association Rules / K. Rajamani ; S. Sung ; A. Cox |
| An Efficient Approach for Incremental Association Rule Mining / P. S. M. Tsai ; C.-C. Lee ; A. L. P. Chen |
| Association Rules in Incomplete Databases / M. Kryszkiewicz |
| Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation / I. Pramudiono ; T. Shintani ; T. Tamura ; M. Kitsuregawa |
| H-Rule Mining in Heterogeneous Databases / Y. Yang ; M.Singhal |
| An Improved Definition of Multidimensional, Inter-transaction Association Rule / A. Zhou ; S. Zhou ; W. Jin ; Z. Tian |
| Incremental Discovering Association Rules: A Concept Lattice Approach / K. Hu ; Y. Lu ; C. Shi |
| Feature Selection and Generation |
| Induction as Pre-processing / X. Wu |
| Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees / Z. Zheng ; G. I. Webb |
| On Information-Theoretic Measures of Attribute Importance / Y. Y. Yao ; S. K. M. Wong ; C. J. Butz |
| A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information / K.-C. Lee |
| A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree / M. Terabe ; O. Katai ; T. Sawaragi ; T. Washio |
| Mining in Semi, Un-structured Data |
| An Algorithm for Constrained Association Rule Mining in Semi-structured Data / L. Singh ; B. Chen ; R. Haight ; P. Scheuermann |
| Incremental Mining of Schema for Semi-structured Data |
| Discovering Structure from Document Databases / M.-F.Jiang ; S.-S. Tseng ; C.-J. Tsai |
| Combining Forecasts from Multiple Textual Data Sources / V. Cho ; B. Wüthrich |
| Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql / X. Meng ; Y. Zhou ; S. Wang |
| Interestingness, Surprisingness, and Exceptions |
| Evolutionary Hot Spots Data Mining: An Architecture for Exploring for Interesting Discoveries / G J. Williams |
| Efficient Search of Reliable Exceptions / H. Liu ; H. Lu ; L. Feng ; F. Hussain |
| Heuristics for Ranking the Interestingness of Discovered Knowledge / R. J. Hilderman ; H. J. Hamilton |
| Rough Sets, Fuzzy Logic, and Neural Networks |
| Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion / S. Tsumoto |
| Discernibility System in Rough Sets / Z. Liu ; Z. Xie |
| Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets / A. Rauber ; D. Merkl |
| Neural Network Based Classifiers for a Vast Amount of Data / L. Zhang ; B. Zhang |
| Accuracy Tuning on Combinatorial Neural Model / H. A. Prado ; K. F. Machado ; S. R. Frigeri ; P. M. Engel |
| A Situated Information Articulation Neural Network: VSF Network / Y. Kakemoto ; S. Nakasuka |
| Neural Method for Detection of Complex Patterns in Databases / C. Deng ; F. Xiong |
| Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment / X. Shi ; M.-C.Chan ; D. Li |
| An Induction Algorithm Based on Fuzzy Logic Programming / D. Shibata ; N. Inuzuka ; S. Kato ; T. Matsui ; H. Itoh |
| Rule Discovery in Databases with Missing Values Based on Rough Set Model |
| Sustainability Knowledge Mining from Human Development Database / X. Wang ; R. Wang ; J. Wang |
| Induction, Classification, and Clustering |
| Characterization of Default Knowledge in Ripple Down Rules Method / T. Wada ; T. Horiuchi |
| Improving the Performance of Boosting for Naive Bayesian Classification / K. M. Ting |
| Convex Hulls in Concept Induction / D. A. Newlands |
| Mining Classification Knowledge Based on Cloud Models / J. Fan |
| Robust Clustering of Large Geo-referenced Data Sets / V. Estivill-Castro ; M. E. Houle |
| A Fast Algorithm for Density-Based Clustering in Large Database / B. Zhou |
| A Lazy Model-Based Algorithm for On-Line Classification / G. Melli |
| An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering / K. AlSabti ; S. Ranka ; V. Singh |
| A Fast Clustering Process for Outliers and Remainder Clusters / C.-M. Su ; M.-F. Jiang ; J. C. S. Chen |
| Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem / H. He ; S. Hawkins |
| Classifying Unseen Cases with Many Missing Values / B. T. Low |
| Study of a Mixed Similarity Measure for Classification and Clustering / T. B. Ho ; N. B.Nguyen ; T. Morita |
| Visualization |
| Visually Aided Exploration of Interesting Association Rules / B. Liu ; W. Hsu ; K. Wang ; S. Chen |
| DVIZ: A System for Visualizing Data Mining / J. Han ; N. Cercone |
| Causal Model and Graph-Based Methods |
| A Minimal Causal Model Learner / H. Dai |
| Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases / K. L. Lee ; G. Lee |
| Basket Analysis for Graph Structured Data / A. Inokuchi ; K. Kumasawa ; N. Arai |
| The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors / J. R. Neil ; K. B. Korb |
| KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System / T. Miyahara ; T. Uchida ; T. Kuboyama ; T. Yamamoto ; K. Takahashi ; H. Ueda |
| Agent-Based, and Distributed Data Mining |
| Probing Knowledge in Distributed Data Mining / Y. Guo ; J. Sutiwaraphun |
| Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases / Z. W. Raś ; J. M. Żytkow |
| The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages / A. Zighed ; M. Côté ; N. Troudi |
| Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web / L. Sterling ; A. Wyatt |
| Event Mining with Event Processing Networks / L. Perrochon ; W. Mann ; S. Kasriel ; D. C. Luckham |
| Advanced Topics and New Methodologies |
| An Analysis of Quantitative Measures Associated with Rules / N. Zhong |
| A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery / J. Cheng |
| Discovering Conceptual Differences among Different People via Diverse Structures / T. Yoshida ; T. Kondo ; S. Nishida |
| Ordered Estimation of Missing Values / O. O. Lobo ; M. Numao |
| Prediction Rule Discovery Based on Dynamic Bias Selection / E. Suzuki ; T. Ohno |
| Discretization of Continuous Attributes for Learning Classification Rules / A. An |
| BRRA: A Based Relevant Rectangle Algorithm for Mining Relationships in Databases / S. Ben Yahia ; A. Jaoua |
| Mining Functional Dependency Rule of Relational Database / X. Tao ; N. Wang ; Y. Hu |
| Time-Series Prediction with Cloud Models in DMKD / R. Jiang ; H. Chen |
| Author Index |
| Invited Talks |
| KDD as an Enterprise IT Tool: Reality and Agenda / W. Kim |
| Computer Assisted Discovery of First Principle Equations from Numeric Data / H. Motoda |
| Emerging KDD Technology |
| Data Mining: A Rough Set Perspective / Z. Pawlak |
| Data Mining Techniques for Associations, Clustering and Classification / C. C. Aggarwal ; P. S. Yu |
