Data Warehousing and Knowledge Discovery

1. Front Matter

   Pages I-XIV

   PDF

2. Invited Talk

   1. Knowledge Management in Heterogeneous Data Warehouse Environments

      • Larry Kerschberg

      Pages 1-10

3. Association Rules (1)

   1. Mining Generalized Association Rules with Multiple Minimum Supports

      • Ming-Cheng Tseng, Wen-Yang Lin

      Pages 11-20

   2. A Theoretical Framework for Association Mining based on the Boolean Retrieval Model

      • Peter Bollmann-Sdorra, Alaaeldin M. Hafez, Vijay V. Raghavan

      Pages 21-30

   3. Mining Inter-Transactional Association Rules: Generalization and Empirical Evaluation

      • Ling Feng, Qing Li, Allan Wong

      Pages 31-40

   4. On the Equivalence of Top-down and Bottom-up Data Mining in Relational Databases

      • Hasan M. Jamil

      Pages 41-50

4. Association Rules (2)

   1. Monitoring Change in Mining Results

      • Steffan Baron, Myra Spiliopoulou

      Pages 51-60

   2. Discovering Knowledge from Meteorological Databases: A Meteorological Aviation Forecast Study

      • Sérgio Viademonte, Frada Burstein, Robert Dahni, Scott Williams

      Pages 61-70

   3. Enhancing the Apriori Algorithm for Frequent Set Counting

      • Raffaele Perego, Salvatore Orlando, P. Palmerini

      Pages 71-82

5. Mining Temporal Patterns

   1. Mining Cyclically Repeated Patterns

      • Ismail H. Toroslu, Murat Kantarcioglu

      Pages 83-92

   2. Development of Automated Data Mining System for Quality Control in Manufacturing

      • Hideyuki Maki, Yuko Teranishi

      Pages 93-100

6. Data Mining Techniques

   1. FastFDs: A Heuristic-Driven, Depth-First Algorithm for Mining Functional Dependencies from Relation Instances Extended Abstract

      • Catharine Wyss, Chris Giannella, Edward Robertson

      Pages 101-110

   2. Ensemble Feature Selection Based on the Contextual Merit

      • Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal

      Pages 111-120

   3. Interactive Clustering for Transaction Data

      • Yongqiao Xiao, Margaret H. Dunham

      Pages 121-130

7. Collaborative Filtering and Web Mining

   1. A New Approach For Item Choice Recommendations

      • Se June Hong, Ramesh Natarajan, Ilana Belitskaya

      Pages 131-140

   2. RecTree: An Efficient Collaborative Filtering Method

      • Sonny Han Seng Chee, Jiawei Han, Ke Wang

      Pages 141-151

   3. Discovering Web Document Associations for Web Site Summarization

      • K. Selςuk Candan⋆, Wen-Syan Li

      Pages 152-161

8. Visualization and Matchmaking

   1. Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics

      • Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

      Pages 162-173

   2. Towards a Novel OLAP Interface for Distributed Data Warehouses

      • Ayman Ammoura, Osmar Zaïane, Randy Goebel

      Pages 174-185

   3. Matchmaking for Structured Objects

      • Thomas Eiter, Daniel Veit, Jörg P. Müller, Martin Schneider

      Pages 186-194

Data Warehousing and Knowledge Discovery technology is emerging as a key technology for enterprises that wish to improve their data analysis, decision support activities, and the automatic extraction of knowledge from data. The objective of the Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001) was to bring together researchers and practitioners to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of association rules, mining temporal patterns, data mining techniques, collaborative filtering, Web mining, visualization, matchmaking, evelopment and maintenance of data warehouses, OLAP, and distributed data warehouses. These proceedings contain the technical papers selected for presentation at the conference. We received more than 90 papers from over 20 countries, and the program committee finally selected 34 papers. The conference program included one invited talk: “Knowledge Management in Heterogeneous Data Warehouse Environments” by Professor Larry Kerschberg, George Mason University, USA.

• Data warehouses
• LA
• OLAF
• OLAP
• Visualization
• Web mining
• data mining
• data warehouse
• data warehousing
• discovery science associaation rules
• distributed databases
• knowledge discovery
• temporal pattern mining

• Kyoto University, Kyoto, Japan

  Yahiko Kambayashi

• EC3, Wien

  Werner Winiwarter

• Center for Spatial Information Science (CSIS), University of Tokyo, Tokyo, Japan

  Masatoshi Arikawa

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