Methodologies for Knowledge Discovery and Data Mining: Third Pacific-Asia Conference, PAKDD-99 Beijing, China, April 26–28, 1999 Proceedings

KDD as an Enterprise IT Tool: Reality and Agenda....Pages 1-1
Computer Assisted Discovery of First Principle Equations from Numeric Data....Pages 2-2
Data Mining — a Rough Set Perspective....Pages 3-12
Data Mining Techniques for Associations, Clustering and Classification....Pages 13-23
Data Mining: Granular Computing Approach....Pages 24-33
Rule Extraction from Prediction Models....Pages 34-44
Mining Association Rules on Related Numeric Attributes....Pages 44-53
LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining....Pages 54-64
Extending the Applicability of Association Rules....Pages 64-74
An Efficient Approach for Incremental Association Rule Mining....Pages 74-83
Association Rules in Incomplete Databases....Pages 84-93
Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation....Pages 94-99
H-Rule Mining in Heterogeneous Databases....Pages 99-103
An Improved Definition of Multidimensional Inter-transaction Association Rule....Pages 104-108
Incremental Discovering Association Rules: A Concept Lattice Approach....Pages 109-113
Induction as Pre-processing....Pages 114-122
Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees....Pages 123-132
On Information-Theoretic Measures of Attribute Importance....Pages 133-137
A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information....Pages 138-142
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree....Pages 143-147
An Algorithm for Constrained Association Rule Mining in Semi-structured Data....Pages 148-158
Incremental Mining of Schema for Semistructured Data....Pages 159-168
Discovering Structure from Document Databases....Pages 169-173
Combining Forecasts from Multiple Textual Data Sources....Pages 174-179
Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql....Pages 179-183
Evolutionary Hot Spots Data Mining....Pages 184-193
Efficient Search of Reliable Exceptions....Pages 194-204
Heuristics for Ranking the Interestingness of Discovered Knowledge....Pages 204-210
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion....Pages 210-219
Discernibility System in Rough Sets....Pages 220-227
Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets....Pages 228-237
Neural Network Based Classifiers for a Vast Amount of Data....Pages 238-246
Accuracy Tuning on Combinatorial Neural Model....Pages 247-252
A Situated Information Articulation Neural Network: VSF Network....Pages 252-257
Neural Method for Detection of Complex Patterns in Databases....Pages 258-262
Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment....Pages 263-268
An Induction Algorithm Based on Fuzzy Logic Programming....Pages 268-274
Rule Discovery in Databases with Missing Values Based on Rough Set Model....Pages 274-278
Sustainability Knowledge Mining from Human Development Database....Pages 279-283
Characterization of Default Knowledge in Ripple Down Rules Method....Pages 284-295
Improving the Performance of Boosting for Naive Bayesian Classification....Pages 296-305
Convex Hulls in Concept Induction....Pages 306-316
Mining Classification Knowledge Based on Cloud Models....Pages 317-326
Robust Clusterin of Large Geo-referenced Data Sets....Pages 327-338
A Fast Algorithm for Density-Based Clustering in Large Database....Pages 338-349
A Lazy Model-Based Algorithm for On-Line Classification....Pages 350-354
An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering....Pages 355-360
A Fast Clustering Process for Outliers and Remainder Clusters....Pages 360-364
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem....Pages 365-369
Classifying Unseen Cases with Many Missing Values....Pages 370-375
Study of a Mixed Similarity Measure for Classification and Clustering....Pages 375-379
Visually Aided Exploration of Interesting Association Rules....Pages 380-389
DVIZ: A System for Visualizing Data Mining....Pages 390-399
A Minimal Causal Model Learner....Pages 400-409
Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases....Pages 409-419
Basket Analysis for Graph Structured Data....Pages 421-433
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors....Pages 433-438
KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System....Pages 438-442
Probing Knowledge in Distributed Data Mining....Pages 443-452
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases....Pages 453-463
The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages....Pages 464-468
Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web....Pages 469-473
Event Mining with Event Processing Networks....Pages 474-478
An Analysis of Quantitative Measures Associated with Rules....Pages 479-488
A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery....Pages 489-493
Discovering Conceptual Differences among Different People via Diverse Structures....Pages 494-499
Ordered Estimation of Missing Values....Pages 499-503
Prediction Rule Discovery Based on Dynamic Bias Selection....Pages 504-508
Discretization of Continuous Attributes for Learning Classification Rules....Pages 509-514
BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases....Pages 515-520
Mining Functional Dependency Rule of Relational Database....Pages 520-524
Time-Series Prediction with Cloud Models in DMKD....Pages 525-530