Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2001, held in Munich, Germany in September 2001. The 33 revised full papers presented together with one invited paper were carefully reviewed and selected from more than 90 submissions. The papers are organized in topical sections on association rules, mining temporal patterns, data mining techniques, collaborative filtering and Web mining, visualization and matchmaking, development of data warehouses, maintenance of data warehouses, OLAP, and distributed data warehouses.

Invited Talk
Knowledge Management in Heterogeneous Data Warehouse Environments
Association Rules(1)
Mining Generalized Association Rules with Multiple Minimum Supports
A Theoretical Frmanework for Association Mining Based on the Boolean
Mining Inter-transactional Association Rules:Generalization and Empirical
Evaluation
On the Equivalence of Top-Down and Bottom-Up Data Mining in Relational Databases
Association Rules(2)
Monitoring Change in Mining Results
Discovering Knowledge from Meteorological Databases:A Meteorological Aviation
Forecast Study
Enhancing the Apriori Algorithm for Frequent Set Counting
Mining Temporal Patterns
Mining Cyclically Repeated Patterns
Development of Automated Data Mining System for Quality Control in Manufacturing
Data Mining Techniques
FastFDs:A Heruistic-Driven,Depth-First Algorithm for Mining Functional
Dependencies from Relation Instances
Ensemble Feature Selection Based on the Contxtual Merit
Interactive Clustering for Transaction Data
Collaborative Filtering and Web Mining
A New Approach for Item Choice Recommendations
RecTree:An Efficient Collaborative Filtering Method
Discovering Web Document Associations for Site Summarization
Visualization and Matchmaking
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics
Towards a Novel OLAP Interface for Distributed Data Warehouses
Matchmaking for Structured Obiects
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