DM: PAKDD-99: First Call for Papers

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                  FIRST CALL FOR PAPERS: PAKDD-99 
========================================================================

                The Third Pacific-Asia Conference on 
                Knowledge Discovery and Data Mining

                        Beijing, China 
                       April 26-28, 1999

        Home Page: http://ain2.ai.csse.yamaguchi-u.ac.jp/pakdd99

                   Papers Due: October 10, 1998

                         Sponsored by:
                     Tsinghua University
              National Science Foundation of China
                  Chinese Computer Federation


The Third Pacific-Asia Conference on Knowledge Discovery and Data 
Mining 
(PAKDD-99) will provide 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 will follow 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.

Papers on all aspects of knowledge discovery and data mining are 
welcome. 
Areas of interest include, but are not limited to: 

      - Theory and Foundational Issues in KDD

        * Data and Knowledge Representation in KDD 
        * Logic for/of Knowledge Discovery
        * Expanding the Autonomy of Machine Discovers
        * Human Factors in KDD
        * Scientific Discovery and KDD
        * New Theory, Philosophy, and Methodology for KDD

      - KDD Algorithms and Methods 

        * Machine Learning Methods for KDD
        * Statistical Methods for KDD
        * Heuristic Search for KDD
        * Inductive Logic Programming
        * Deduction, Induction and Abduction in KDD 
        * Discovery of Exceptions and Deviations
        * Multi-criteria Evaluation and Data Mining Metrics
        * Hybrid and Multi-agent Methods for KDD
        * Evaluation of Complexity, Efficiency, and Scalability of 
Algorithms

      - Process-Centric KDD

        * Models and Framework of the Knowledge Discovery Process
        * Data and Dimensionality Reduction 
        * Preprocessing and Postprocessing 
        * Interestingness Checking of Data and Rules
        * Management and Refinement for the Discovered Knowledge
        * Decomposition of Large Data Sets
        * Discretisation of Continuous Data 
        * Data and Knowledge Visualization 
        * Role of Domain Knowledge and Reuse of Discovered Knowledge 
        * KDD Process and Human Interaction

      - Soft Computing for KDD

        * Information Granulation and Granular Computing in KDD 
        * Rough Sets in Data Mining
        * Neural Networks, Probabilistic Reasoning for KDD
        * Noise Handling and Uncertainty Management 
        * Hybrid Symbolic/Connectionist KDD Systems

      - High Performance Data Mining and Applications

        * Multi-Database Mining 
        * Data Mining in Advanced Databases (OODB, Spatial DB, 
Multimedia DB)
        * Database Reverse Engineering for KDD
        * Integration of Data Warehousing, OLAP and Data Mining
        * Combining Data Mining with Database Querying
        * Parallel and Distributed Data Mining 
        * Data Mining on the Internet 
        * Multi-agent, Multi-task KDD Systems
        * Data Mining from Unstructured and Multimedia Data
        * Unification of Data Mining with Intelligent Information 
Retrieval
        * Security and Privacy Issues in KDD 
        * Successful/Innovative KDD Applications in Science, 
Engineering,
                     Medicine, Business, Education, Government, and 
Industry 


Both research and applications papers are solicited. 
All submitted papers will be reviewed on the basis of technical 
quality, 
relevance to KDD, originality, significance, and clarity. 
Accepted papers are expected to be published in the conference
proceedings by Springer-Verlag in the Lecture Notes in Artificial
Intelligence series. A selected number of PAKDD-99 accepted papers
will be expanded and revised for inclusion in "Knowledge and
Information Systems: An International Journal" by Springer-Verlag
(http://www.sd.monash.edu.au/kais/).
PAKDD Best Paper Awards will be conferred 
on the authors of the best papers at the conference.

Authors are invited to submit Four copies of their manuscript 
(maximum 5,000 words) to one of the addresses below: 

------------------------------------------------
Prof. Ning Zhong (PAKDD-99) 
Dept. of Computer Science and Systems Engineering 
Faculty of Engineering, Yamaguchi University 
Tokiwa-Dai, 2557, Ube 755, Japan 
Tel&Fax: +81-836-35-9949 
Email: zhong@ai.csse.yamaguchi-u.ac.jp

Papers from China:
~~~~~~~~~~~~~~~~~
Prof. Lizhu Zhou (PAKDD-99) 
Dept. of Computer Science and Technology 
Tsinghua University 
Beijing 100084, China 
Email: dcszlz@mail.tsinghua.edu.cn
------------------------------------------------

Please include a cover page containing the title, 
authors (names, postal and email addresses), 
a 200-word abstract and up to 5 keywords. 
This cover page must accompany the paper. 

     *************** I m p o r t a n t   D a t e s ***************
     * 4 copies of full papers received by:     October 10, 1998 *
     * Acceptance notices:                     December 20, 1998 *
     * Camera-readies due by:                   January 30, 1999 *
     * Conference:                             April 26-28, 1999 *
     *************************************************************

PAKDD Steering Committee:
=========================
Xindong Wu, Monash University, Australia (Chair)
Hongjun Lu, National University of Singapore (Co-Chair)
Rao Kotagiri, University of Melbourne, Australia 
Huan Liu, National University of Singapore 
Hiroshi Motoda, Osaka University, Japan

Conference Chairs:
==================
Bo Zhang, Tsinghua University, China 
Setsuo Ohsuga, Waseda University, Japan

Program Chairs:
===============
Ning Zhong, Yamaguchi University, Japan
Lizhu Zhou, Tsinghua University, China 

Organizing Committee Chairs:
============================
Zhongzhi Shi, Chinese Academy of Science 
Shan Wang, People's University of China 

Further Information:
====================
Prof. Ning Zhong (PAKDD-99) 
Dept. of Computer Science and Systems Engineering 
Faculty of Engineering, Yamaguchi University 
Tokiwa-Dai, 2557, Ube 755, Japan 
Tel&Fax: +81-836-35-9949 
Email: zhong@ai.csse.yamaguchi-u.ac.jp
---------------------------------------------------------------

Call for Tutorial Proposals 
~~~~~~~~~~~~~~~~~~~~~~~~~~
PAKDD-99 will offer a tutorial program on KDD topics. 
We would be able to present only a limited number of tutorials, 
and the selection would be guided by the perceived quality and 
relevance to the conference. 
If you are interested in giving a tutorial, 
please send a proposal to zhong@ai.csse.yamaguchi-u.ac.jp 
by Oct. 10, 1998. 

Call for Workshop Proposals 
~~~~~~~~~~~~~~~~~~~~~~~~~~
PAKDD-99 will provide a venue for one or two workshops 
to focus on advanced research areas of KDD.
Please submit suggestions for workshop proposals 
to zhong@ai.csse.yamaguchi-u.ac.jp by Oct. 10, 1998. 

Call for Panel Proposals 
~~~~~~~~~~~~~~~~~~~~~~~
Proposals are sought for panels that stimulate interaction between 
the communities contributing to KDD. 
Include title, the main goals, prospective participants and 
a summary of the topics to be discussed. 
Please email panel proposals to 
zhong@ai.csse.yamaguchi-u.ac.jp by Oct. 10, 1998. 

Call for Exhibits
~~~~~~~~~~~~~~~~
PAKDD-99 will organize a data mining, OLAP and data warehouse 
product exhibition.
Please send proposals for exhibits to 
zhong@ai.csse.yamaguchi-u.ac.jp by Oct. 10, 1998. 
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