The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20,
2000. PAKDD 2000 provided an international forum for researchers and application
developers to share their original research results and practical development
experiences. A wide range of current KDD topics were covered including machine
learning, databases, statistics, knowledge acquisition, data visualization,
knowledge-based systems, soft computing, and high performance computing. It
followed the success of PAKDD 97 in Singapore, PAKDD 98 in Austraha, and
PAKDD 99 in China by bringing together participants from universities, industry,
and government from all over the world to exchange problems and challenges
and to disseminate the recently developed KDD techniques.
This PAKDD 2000 proceedings volume addresses both current issues and
novel approaches in regards to theory, methodology, and real world application.
The technical sessions were organized according to subtopics such as Data Mining
Theory, Feature Selection and Transformation, Clustering, Application of Data
Mining, Association Rules, Induction, Text Mining, Web and Graph Mining.
Of the 116 worldwide submissions, 33 regular papers and 16 short papers were
accepted for presentation at the conference and included in this volume. Each
submission was critically reviewed by two to four program committee members
based on their relevance, originality, quality, and clarity.
The PAKDD 2000 program was enhanced by two keynote speeches and one
invited talk: Yoshiharu Sato of Hokkaido University, Japan (Statistics), Ryszard
S. Michalski of George Mason University, USA (Machine Learning), and Andrew
Tomkins of IBM Almaden Research Center (Databases). The PAKDD 2000 program
was further complemented by five tutorials: Enterprise Data Mining with
Case Studies (Zhexue Huang and Graham J Williams), Data Mining with Decision
Trees (Johannes Gehrke), Knowledge Extraction from Texts - Application
to Human Resources in Industry (Yves Kodratoff), Rough Sets in KDD:
A Tutorial (Andrzej Skowron and Ning Zhong), and Data Mining on the World
Wide Web (Wee-Keong NG). Two international workshops were co-hosted with
PAKDD 2000 focusing on two KDD frontiers: the International Workshop on
Web Knowledge Discovery and Data Mining (WKDDM 2000) and the International
Workshop of KDD Challenge on Real-World Data (KDD Challenge 2000).