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

Front Cover
Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb
Springer, 2006 M04 11 - 434 pages
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.
 

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Contents

1 Knowledge Acquisition for Goal Prediction in a Multiuser Adventure Game
1
The Next Generation
13
3 Discovering Case Knowledge Using Data Mining
25
A New and Faster Algorithm and Its Application to Basket Analysis
36
5 Effect of Data Skewness in Parallel Mining of Association Rules
48
A Case Study
61
7 Interestingness of Discovered Association Rules in Terms of NeighborhoodBased Unexpectedness
72
8 Point Estimation Using the KullbackLeibler Loss Function and MML
87
29 Scaling Up the Rule Generation of C45
348
30 Data Mining Based on the Generalization DistributionTable and Rough Sets
360
31 Constructing Personalized Information Agents
374
32 Towards Real Time Discovery from Distributed Information Sources
376
33 Constructing Conceptual Scales in Formal Concept Analysis
378
34 The Hunter and the Hunted Modelling the Relationship Between Web Pages and Search Engines
380
35 An Efficient Global Discretization Method
383
36 Learning User Preferences on the WEB
385

9 Single Factor Analysis in MML Mixture Modelling
96
10 Discovering Associations in Spatial Data An Efficient Medoid Based Approach
110
11 Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
122
Clustering Categorical Attributes into Interesting Association Rules
132
An Efficient Method for Spatial Data Cube Construction
144
14 Mining Market Basket Data Using Share Measures and Characterized Itemsets
159
15 Automatic Visualization Method for Visual Data Mining
174
16 RoughSet Inspired Approach to Knowledge Discovery in Business Databases
186
17 Representative Association Rules
198
18 Identifying Relevant Databases for Multidatabase Mining
210
19 Minimum Message Length Segmentation
222
20 Bayesian Classification Trees with Overlapping Leaves Applied to CreditScoring
234
21 Contextual Text Representation for Unsupervised Knowledge Discovery in Texts
246
22 Treatment of Missing Valuesfor Association Rules
258
23 Mining Regression Rules and Regression Trees
271
Hash Based Approach
283
25 Wavelet Transform in Similarity Paradigm
295
26 Improved Rule Discovery Performance on Uncertainty
310
27 Feature Mining and Mapping of Collinear Data
322
28 Knowledge Discovery in Discretionary Legal Domains
336
37 Using Rough Sets for Knowledge Discovery in the Development of a Decision Support System for Issuing Smog Alerts
388
38 Empirical Results on Data Dimensionality Reduction Using the Divided SelfOrganizing Map
390
39 Mining Association Rules with Linguistic Cloud Models
392
40 A Data Mining Approach for Query Refinement
394
A ConflictFree Multivariate Discretization Algorithm
397
42 Characteristic Rule Induction Algorithm for Data Mining
399
43 DataMining Massive Time Series Astronomical Data Sets A Case Study
401
44 Multiple Databases Partial Reasoning and Knowledge Discovery
403
45 Design Recovery with Data Mining Techniques
405
46 The CLARET Algorithm
407
A Hybrid Technique for Classifying Myocardial Infarction Data Containing Unknown Attribute Values
409
48 Modelling Decision Tables from Data
412
49 A Classification and Relationship Extraction Scheme for Relational Databases Based on Fuzzy Logic
414
50 Mining Association Rules for Estimation and Prediction
417
51 Rule Generalization by Condition Combination
420
Author Index
423
Lecture Notes in Artificial Intelligence LNAI
425
Lecture Notes in Computer Science
426
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