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Research and development in knowledge discovery and data mining

Author: Xindong Wu; Ramamohanarao Kotagiri
Publisher: Berlin : Springer, cop. 1998.
Series: Lecture notes in computer science, 1394.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

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.

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Genre/Form: Congressen (vorm)
Additional Physical Format: Research and development in knowledge discovery and data mining
(NL-LeOCL)16859238X
(OCoLC)898978955
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Xindong Wu; Ramamohanarao Kotagiri
ISBN: 3540643834 9783540643838 9783662174012 3662174014
OCLC Number: 150397223
Notes: Proceedings of the second Pacific-Asia Conference, PAKDD-98 Melbourne, Australia, April 15-17, 1998.
Description: 1 online resource (XVI, 424 pages :) : illustrations.
Contents: Knowledge acquisition for goal prediction in a multi-user adventure game.- Hybrid data mining systems: The next generation.- Discovering case knowledge using data mining.- Discovery of association rules over ordinal data: A new and faster algorithm and its application to basket analysis.- Effect of data skewness in parallel mining of association rules.- Trend directed learning: A case study.- Interestingness of discovered association rules in terms of neighborhood-based unexpectedness.- Point estimation using the Kullback-Leibler loss function and MML.- Single factor analysis in MML mixture modelling.- Discovering associations in spatial data - An efficient medoid based approach.- Data mining using dynamically constructed recurrent fuzzy neural networks.- CCAIIA: Clustering categorical attributes into interesting association rules.- Selective materialization: An efficient method for spatial data cube construction.- Mining market basket data using share measures and characterized itemsets.- Automatic visualization method for visual data mining.- Rough-set inspired approach to knowledge discovery in business databases.- Representative association rules.- Identifying relevant databases for multidatabase mining.- Minimum message length segmentation.- Bayesian classification trees with overlapping leaves applied to credit-scoring.- Contextual text representation for unsupervised knowledge discovery in texts.- Treatment of missing values for association rules.- Mining regression rules and regression trees.- Mining algorithms for sequential patterns in parallel : Hash based approach.- Wavelet transform in similarity paradigm.- Improved rule discovery performance on uncertainty.- Feature mining and mapping of collinear data.- Knowledge discovery in discretionary legal domains.- Scaling up the rule generation of C4.5.- Data mining based on the generalization distribution table and rough sets.- Constructing personalized information agents.- Towards real time discovery from distributed information sources.- Constructing conceptual scales in formal concept analysis.- The hunter and the hunted - Modelling the relationship between web pages and search engines.- An efficient global discretization method.- Learning user preferences on the WEB.- Using rough sets for knowledge discovery in the development of a decision support system for issuing smog alerts.- Empirical results on data dimensionality reduction using the divided self-organizing map.- Mining association rules with linguistic cloud models.- A data mining approach for query refinement.- CFMD: A conflict-free multivariate discretization algorithm.- Characteristic rule induction algorithm for data mining.- Data-mining massive time series astronomical data sets - A case study.- Multiple databases, partial reasoning, and knowledge discovery.- Design recovery with data mining techniques.- The CLARET algorithm.- LRTree: A hybrid technique for classifying myocardial infarction data containing unknown attribute values.- Modelling decision tables from data.- A classification and relationship extraction scheme for relational databases based on fuzzy logic.- Mining association rules for estimation and prediction.- Rule generalization by condition combination.
Series Title: Lecture notes in computer science, 1394.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Responsibility: Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb (eds.).

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