KDD Workshop 1994:
Seattle,
Washington,
USA
Usama M. Fayyad,
Ramasamy Uthurusamy (Eds.):
Knowledge Discovery in Databases:
Papers from the 1994 AAAI Workshop,
Seattle,
Washington,
July 1994. AAAI Press,
Technical Report WS-94-03,
ISBN 0-929280-73-3,
473 pp.
Foundational Issues and Core Problems
Statistical and Probabilistic Models
Concept Discovery
- Wesley W. Chu, Kuorong Chiang:
Abstraction of High Level Concepts from Numerical Values in Databases.
133-144
- Isabelle Guyon, Nada Matic, Vladimir Vapnik:
Discovering Informative Patterns and Data Cleaning.
145-156
- Jiawei Han, Yongjian Fu:
Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases.
157-168
- Lawrence B. Holder, Diane J. Cook, Surnjani Djoko:
Substucture Discovery in the SUBDUE System.
169-180
- Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Efficient Algorithms for Discovering Association Rules.
181-192
- Molly Troxel, Kim Swarm, Robert Zembowicz, Jan M. Zytkow:
From Law-Like Knowledge to Concept Hierarchies in Data.
193-204
- Hiroshi Tsukimoto:
The Discovery of Logical Propositions in Numerical Data.
205-216
Integrated and Interactive Systems
Database-Specific Techniques
- Sarabjot S. Anand, David A. Bell, John G. Hughes:
Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization.
287-298
- Roger H. L. Chiang, Terence M. Barron, Veda C. Storey:
Extracting Domain Semantics for Knowledge Discovery in Relational Databases.
299-310
- Chun-Nan Hsu, Craig A. Knoblock:
Rule Induction for Semantic Query Optimization.
311-322
- Xiaohua Hu, Nick Cercone, Jinshi Xie:
Learning Data Trend Regularities From Databases in a Dynamic Environment.
323-334
- Wei-Min Shen, Bharat G. Mitbander, KayLiang Ong, Carlo Zaniolo:
Using Metagueries to Integrate Inductive Learning and Deductive Database Technology.
335-346
Methodology and Application Issues
Applications
Machine Discovery Terminology
Copyright © Sun Mar 14 23:15:47 2010
by Michael Ley (ley@uni-trier.de)
