Date: Fri, 12 Mar 99 12:00:42 JST
From: pakdd99@ai.csse.yamaguchi-u.ac.jp
Subject: Call for Participation (PAKDD-99)
The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining
Xiangshan Hotel, Beijing, China
April 26-28, 1999
C A L L F O R P A R T I C I P A T I O N
Home Page: http://ain2.ai.csse.yamaguchi-u.ac.jp/pakdd99
PAKDD-99 provides an international forum for the sharing of original
research results and practical development experiences among
researchers and application developers from different KDD related
areas such as machine learning, databases, statistics, knowledge
acquisition, data visualization, knowledge-based systems, soft
computing, and high performance computing. It follows the success of
PAKDD-97 held in Singapore in 1997 and PAKDD-98 held in Australia in
1998 by bringing together participants from universities, industry and
government.
PAKDD-99 encourages both new theory/methodologies and real world
applications, and covers broad and diverse topics in data mining and
knowledge discovery. The technical sessions include: Association
Rules Mining; Feature Selection and Generation; Mining in Semi,
Un-structured Data; Interestingness, Surprisingness, and Exceptions;
Rough Sets, Fuzzy Logic, and Neural Networks; Induction,
Classification, and Clustering; Causal Model and Graph-Based Methods;
Visualization; Agent-Based, and Distributed Data Mining; Advanced
Topics and New Methodologies.
Of the 158 submissions, we accepted 29 regular papers and 37 short
papers for presentation at the conference and for publication in the
conference proccedings by Springer-Verlag as a book, titled
`Methodologies for Knowledge Discovery and Data Mining'
(Lecture Notes in Artificial Intelligence 1574).
In addition, over 20 papers were accepted for poster presentation.
The PAKDD-99 program is further supplemented by two invited
speakers: Won Kim and Hiroshi Motoda, a special session on Emerging
KDD Technology (Speakers: Zdzislaw Pawlak, Philip Yu, T.Y. Lin,
Hiroshi Tsukimoto), and a panel session on Knowledge Management in
Data Mining (Chair: Xindong Wu; Panelists: Rao Kotagiri, Zhongzhi Shi,
Jan M. Zytkow).
Two tutorials: Automated Discovery - Combining AI, Statistics and
Theory of Knowledge by Jan M. Zytkow, Quality Data and Effective
Mining by Hongjun Lu, and a workshop on Knowledge Discovery from
Advanced Databases organized by Mohamed Quafafou and Philip Yu, are
also offered to all conference participants on April 26.
Copyright © 1999 KDnuggets