Research and Development in Knowledge Discovery and Data Mining: Second Pacific-Asia Conference, PAKDD'98, Melbourne, Australia, April 15-17, 1998, Proceedings (Lecture Notes in Computer Science)

This Book Constitutes The Refereed Proceedings Of The Second Pacific-asia Conference On Knowledge Discovery And Data Mining, Pakdd-98, Held In Melbourne, Australia, In April 1998. The Book Presents 30 Revised Full Papers Selected From A Total Of 110 Submissions; Also Included Are 20 Poster Presentations. The Papers Contribute New Results To All Current Aspects In Knowledge Discovery And Data Mining On The Research Level As Well As On The Level Of Systems Development. Among The Areas Covered Are Machine Learning, Information Systems, The Internet, Statistics, Knowledge Acquisition, Data Visualization, Software Reengineering, And Knowledge Based Systems. Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb, Eds. Includes Bibliographical References And Index. Knowledge acquisition for goal prediction in a multi-user adventure game....Pages 1-12 Hybrid data mining systems: The next generation....Pages 13-24 Discovering case knowledge using data mining....Pages 25-35 Discovery of association rules over ordinal data: A new and faster algorithm and its application to basket analysis....Pages 36-47 Effect of data skewness in parallel mining of association rules....Pages 48-60 Trend directed learning: A case study....Pages 61-71 Interestingness of discovered association rules in terms of neighborhood-based unexpectedness....Pages 72-86 Point estimation using the Kullback-Leibler loss function and MML....Pages 87-95 Single factor analysis in MML mixture modelling....Pages 96-109 Discovering associations in spatial data — An efficient medoid based approach....Pages 110-121 Data mining using dynamically constructed recurrent fuzzy neural networks....Pages 122-131 CCAIIA: Clustering categorical attributes into interesting association rules....Pages 132-143 Selective materialization: An efficient method for spatial data cube construction....Pages 144-158 Mining market basket data using share measures and characterized itemsets....Pages 159-173 Automatic visualization method for visual data mining....Pages 174-185 Rough-set inspired approach to knowledge discovery in business databases....Pages 186-197 Representative association rules....Pages 198-209 Identifying relevant databases for multidatabase mining....Pages 210-221 Minimum message length segmentation....Pages 222-233 Bayesian classification trees with overlapping leaves applied to credit-scoring....Pages 234-245 Contextual text representation for unsupervised knowledge discovery in texts....Pages 246-257 Treatment of missing values for association rules....Pages 258-270 Mining regression rules and regression trees....Pages 271-282 Mining algorithms for sequential patterns in parallel : Hash based approach....Pages 283-294 Wavelet transform in similarity paradigm....Pages 295-309 Improved rule discovery performance on uncertainty....Pages 310-321 Feature mining and mapping of collinear data....Pages 322-335 Knowledge discovery in discretionary legal domains....Pages 336-347 Scaling up the rule generation of C4.5....Pages 348-359 Data mining based on the generalization distribution table and rough sets....Pages 360-373 Constructing personalized information agents....Pages 374-375 Towards real time discovery from distributed information sources....Pages 376-377 Constructing conceptual scales in formal concept analysis....Pages 378-379 The hunter and the hunted — Modelling the relationship between web pages and search engines....Pages 380-382 An efficient global discretization method....Pages 383-384 Learning user preferences on the WEB....Pages 385-387 Using rough sets for knowledge discovery in the development of a decision support system for issuing smog alerts....Pages 388-389 Empirical results on data dimensionality reduction using the divided self-organizing map....Pages 390-391 Mining association rules with linguistic cloud models....Pages 392-393 A data mining approach for query refinement....Pages 394-396 CFMD: A conflict-free multivariate discretization algorithm....Pages 397-398 Characteristic rule induction algorithm for data mining....Pages 399-400 Data-mining massive time series astronomical data sets — A case study....Pages 401-402 Multiple databases, partial reasoning, and knowledge discovery....Pages 403-404 Design recovery with data mining techniques....Pages 405-406 The CLARET algorithm....Pages 407-408 LRTree: A hybrid technique for classifying myocardial infarction data containing unknown attribute values....Pages 409-411 Modelling decision tables from data....Pages 412-413 A classification and relationship extraction scheme for relational databases based on fuzzy logic....Pages 414-416 Mining association rules for estimation and prediction....Pages 417-419 Rule generalization by condition combination....Pages 420-421 In this paper, we apply a Dynamic Belief Network (DBN) formalism for knowledge representation and reasoning to predict users' goals, actions and locations in an adventure game called the "Shattered Worlds" Multi-User Dungeon (MUD) (Section 2), and compare the effect of different DBNs on our system's predictive ability (Section 3).