Research and development in knowledge discovery and data mining

Second Pacific-Asia Conference, PAKDD'98, Melbourne, Australia, April 15-17, 1998, Proceedings

Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb

440 pages, parution le 01/04/1998

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Résumé

This subseries of Lecture Notes in Computer Science reports new developments in artificial intelligence research and teaching, quickly, informally, and at a high level. The timeliness of a manuscript is more important than its form, which may be unfinished or tentative. The type of material considered for publication includes

drafts of original papers or monographs,
technical reports of high quality and broad interest,
advanced-level lectures,
reports of meetings, provided they are of exceptional interest and focused on a single topic.

Publication of Lecture Notes is intended as a service to the computer science community in that the publisher Springer-Verlag offers global distribution of documents which would otherwise have a restricted readership. Once published and copyrighted, they can be cited in the scientific literature.ContentsPapers

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

Posters

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
LR Tree: 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

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb
Parution	01/04/1998
Nb. de pages	440
Format	15,5 x23,5
Couverture	Broché
Poids	578g
Intérieur	Noir et Blanc
EAN13	9783540643838