DM: PAKDD-98 (15-17 April): Final Call for Participation

[pakdd98-announce]

                         ********************
                         *  P A K D D ' 98  *
                         ********************
 
  2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
 
                Melbourne, Australia, April 15-17, 1998
 
              C A L L   F O R   P A R T I C I P A T I O N
 
            Home Page: http://www.sd.monash.edu.au/pakdd-98

  ********************************************************************
  * A copy of the registration form is attached below.   The on-line *
  * registration  process  is fully automated  and  can be found  at *
  * http://www.sd.monash.edu.au/pakdd-98/on-line.shtml. You can also *
  * register at the conference.                                      *
  ********************************************************************

Sponsored by:
  MAIC: Monash Artificial Intelligence Consortium
  School of Computer Science and Software Engineering, Monash 
University
  ACSys: Cooperative Research Center for Advanced Computational System

Invited Speakers:
  Jiawei Han (ACSys Keynote Speaker, Simon Fraser University, Canada)
  Chris Wallace (Monash University, Australia)
  Bhavani Thuraisingham (MITRE Corporation, USA)

Conference Chairs: 
  Ross Quinlan (RuleQuest Research Pty Ltd and UNSW)
  Bala Srinivasan (Monash University)

Program Chairs:
  Xindong Wu (Monash University)
  Ramamohanarao Kotagiri (Melbourne University)

INTRODUCTION
============

The Second Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD-98) 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, software re-engineering, and
knowledge-based systems. It follows the success of PAKDD-97 held in
Singapore in 1997 by bringing together participants from universities,
industry and government.

The conference program consists of 2 tutorials, 3 invited talks, one
panel discussion, one pre-conference workshop, and a number of
technical sessions for refereed paper presentations.  The topic of the
panel discussion is `To What Extent Can Data Mining Be
Proceduralised?', and the theme of the workshop is `Parallel and
Distributed Data Mining'. The 2 tutorials are `Data Mining: An
Overview from Database Perspective' and `Applications of Minimum
Message Length in Data Analysis'.

Of the 110 submissions, PAKDD-98 accepted 31 regular papers; an
acceptance rate of 28%. In addition, over 20 papers were accepted as
posters for short presentations. The technical sessions include: Data
Mining in Temporal and Spatial Data; Rough Sets, Fuzzy Logic and
Neural Networks; Induction of Rules and Decision Trees; Agent and
Internet Based Mining; New Tools and Algorithms for Data Mining;
Advanced Topics in Data Mining; Commercial Applications of Data
Mining; and Minimum Message Length Inference (MML). The conference
proceedings is published by Springer-Verlag as a book, titled
`Research and Development in Knowledge Discovery and Data Mining'
(Lecture Notes in Artificial Intelligence 1394).

ADVANCE PROGRAM
===============

April 15, Wednesday:
--------------------

Tutorials (Room 1):

  Morning (9.00am - 12.00 noon): 
    Chris Wallace (Monash University, Australia),
    Applications of Minimum Message Length in Data Analysis
  Afternoon (2.00pm - 5.00pm): 
    Jiawei Han (Simon Fraser University, Canada),
    Data Mining: An Overview from Database Perspective

Pre-Conference Workshop on Parallel and Distributed Data Mining (Room 
2)
    Full Day: http://ruby.doc.ic.ac.uk/workshop/programme.html

PAKDD Steering Committee Meeting: 6.00pm

April 16, Thursday:
-------------------

8:30am - 8:45am (Room 1)
Introduction: Ross Quinlan and Bala Srinivasan, Conference Chairs

8:45 - 9:45 am (Room 1)
ACSys Keynote Talk: Jiawei Han
OLAP Mining: An Integration of Data Mining and Data Warehousing
Technologies

9:45am - 10:00am
Break

10.00am - 12.00 noon

Parallel Session 1 (Room 1):
 
 S4A: Data Mining in Temporal and Spatial Data
 Session Chair: David Cheung, Hong Kong University
 
 - Selective Materialization: An Efficient Method for Spatial Data
   Cube Construction
   by J. Han, N. Stefanovic and K. Koperski
 
 - Discovery of Association Rules over Ordinal Data: A New and Faster
   Algorithm and its Application to Basket Analysis
   by O. Buchter and R. Wirth
 
 - Discovering Associations in Spatial Data -- An Efficient Medoid
   Based Approach
   by V. Estivill-Castro and A. T. Murray
 
 - Mining Algorithms for Sequential Patterns in Parallel: Hash Based
   Approach
   by T. Shintani and M. Kitsuregawa
 
 - Data-Mining Massive Time Series Astronomical Data Sets -- a Case
   Study (Short Paper)
   by M.K. Ng, Z. Huang, and M. Hegland
 
Parallel Session 2 (Room 2):
 
 S4B: Rough Sets, Fuzzy Logic and Neural Networks
 Session Chair: Ning Zhong, Yamaguchi University
 
 - Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural
   Networks
   by Y. Frayman and L. Wang
 
 - Rough Set-Inspired Approach to Knowledge Discovery in Business
   Databases
   by W. Kowalczyk and Z. Piasta
 
 - Data Mining Based on the Generalization Distribution Table and
   Rough Sets
   by N. Zhong, J. Dong and S. Ohsuga
 
12.00 - 1.30pm: Lunch

(Business Meeting at 1.00pm - 1.30pm)
 
1.30pm - 3.00pm
 
Parallel Session 1 (Room 1):
 
 S3A: Advanced Topics in Data Mining (1)
 Session Chair: Honghua Dai, The University of New England
 
 - Hybrid Data Mining Systems: The Next Generation
   by S. S. Anand and J. G. Hughes
 
 - Effect of Data Skewness in Parallel Mining of Association Rules
   by D. W. Cheung and Y. Xiao
 
 - Identifying Relevant Databases for Multidatabase Mining
   by H. Liu, H. Lu and J. Yao
 
Parallel Session 2 (Room 2):
 
 S3B: Induction of Rules and Decision Trees (1)
 Session Chair: Zijian Zheng, Deakin University
 
 - Representative Association Rules
   by M. Kryszkiewicz
 
 - Bayesian Classification Trees with Overlapping Leaves Applied to
   Credit-Scoring
   by G. Paass and J. Kindermann
 
 - Treatment of missing values for association rules
   by A. Ragel and B. Cremilleux

3.00pm - 4.00pm

Parallel Session 1 (Room 1):
 
 S2A: Agent and Internet Based Mining (Short Papers)
 Session Chair: Olivier de Vel, James Cook University

 - The Hunter and the Hunted -- Modelling the Relationship between Web
   Pages and Search Engines
   by D. L. Dowe, L. Allison and G. Pringle
 
 - Constructing Personalized Information Agents
   by C. H. Chang and C. C. Hsu
 
Parallel Session 2 (Room 2):
 
 S2B: New Tools and Algorithms for Data Mining (1)
 Session Chair: John Zeleznikow, La Trobe University
 
 - CCAIIA: Clustering Categorical Attributes into Interesting
   Association Rules
   by B. Gray and M. E. Orlowska
 
 - Constructing Conceptual Scales in Formal Concept Analysis
   (Short Paper)
   by R. Cole, P. Eklund and D. Walker

4.00pm - 4.30pm: Break

4.30pm - 6.00pm

Parallel Session 1 (Room 1):
 
 S3C: Minimum Message Length Inference (MML)
 Session Chair: Kevin Korb, Monash University
 
 - Point Estimation Using the Kullback-Leibler Loss Function and MML
   by D. L. Dowe, R. A. Baxter, J. J. Oliver and C. S. Wallace
 
 - Single Factor Analysis in MML Mixture Modelling
   by R. T. Edwards and D. L. Dowe
 
 - Minimum Message Length Segmentation
   by J. J. Oliver, R. A. Baxter and C.S. Wallace
 
Parallel Session 2 (Room 2):
 
 S3D: Induction of Rules and Decision Trees (Short Papers)
 Session Chair: Huan Liu, National University of Singapore
 
 - An Efficient Global Discretization Method
   by K. M. Ho and P. D. Scott
 
 - CFMD: A Conflict-Free Multivariate Discretization Algorithm
   by Y. Lu, H. Liu and C. L. Tan
 
 - Characteristic Rule Induction Algorithm for Data Mining
   by A. Maeda, H. Maki and H. Akimori
 
 - Modelling Decision Tables from Data
   by J. Vanthienen and H. Timmermans
 
 - Mining Association Rules for Estimation and Prediction
   by T. Washio, H. Matsuura and H. Motoda
 
7.00pm: Conference Dinner

April 17, Friday:
-----------------

8:30am - 8:45am (Room 1)
Introduction: Xindong Wu and Kotagiri Ramamohanarao, Program Chairs

8:45 - 9:45 am (Room 1)
Invited Talk: Chris Wallace
Intrinsic Classification with Spatial Correlation

9:45am - 10:00am
Break
 
10.00am - 12.00 noon
 
Parallel Session 1 (Room 1):
 
 S4C: Commercial Applications of Data Mining
 Session Chair: Graham Williams, CSIRO
 
 - Mining Market Basket Data Using Share Measures and Characterized
   Itemsets
   by R. J. Hilderman, C. L. CARTŪ er, H. J. Hamilton and N. Cercone
 
 - Knowledge Acquisition for Goal Prediction in a Multi-User Adventure
   Game
   by D. W. Albrecht, A. E. Nicholson and I. Zukerman
 
 - Discovering Case Knowledge Using Data Mining
   by S. S. Anand, D. Patterson, J. G. Hughes and D.A. Bell
 
 - Knowledge Discovery in Discretionary Legal Domains
   by J. Zeleznikow and A. Stranieri
 
 - Design Recovery with Data Mining Techniques (Short Paper)
   by C. Montes de Oca and D. L. Carver
 
Parallel Session 2 (Room 2):
 
 S4D: Induction of Rules and Decision Trees (2)
 Session Chair: Hiroshi Motoda, Osaka University
 
 - Mining Regression Rules and Regression Trees
   by B. Y. Sher, S. C. Shao and W. S. Hsieh
 
 - Improved Rule Discovery Performance on Uncertainty
   by M. R. Tolun, H. Sever and M. Uludag
 
 - Scaling Up the Rule Generation of C4.5
   by Z. Zheng
 
 - Interestingness of Discovered Association Rules in Terms of
   Neighborhood-Based Unexpectedness
   by G. Dong and J. Li

12.00 - 1.15pm: Lunch

1.15pm - 2.15pm (Room 1)
Invited Talk: Bhavani Thuraisingham
Data Warehousing, Data Mining, and Security

2.15pm - 3:15pm

Parallel Session 1 (Room 1):
 
 S2C: Advanced Topics in Data Mining (Short Papers)
 Session Chair: Yike Guo, Imperial College

 - Towards Real Time Discovery from Distributed Information Sources
   by V. Cho and B. Wuthrich
 
 - Multiple Databases, Partial Reasoning, and Knowledge Discovery
   by C. Nowak
 
 - A Data Mining Approach for Query Refinement
   by Y. Liu, H. Chen, J. X. Yu and N. Ohbo
 
Parallel Session 2 (Room 2):
 
 S2D: New Tools and Algorithms for Data Mining (2)
 Session Chair: Hongjun Lu, National University of Singapore
 
 - Trend Directed Learning: A Case Study
   by H. Dai
 
 - Feature Mining and Mapping of Collinear Data
   by O. de Vel, D. Coomans and S. Patrick
 
3.15pm - 4.15pm
 
Parallel Session 1 (Room 1):
 
 S2E: Advanced Topics in Data Mining (2)
 Session Chair: Ming Zhao, Telstra
 
 - Wavelet Transform in Similarity Paradigm
   by Z. R. Struzik and A. Siebes
 
 - Automatic Visualization Method for Visual Data Mining
   by Y. Iizuka, H. Shiohara, T. Iizuka and S. Isobe
 
Parallel Session 2 (Room 2):
 
 S2F: New Tools and Algorithms for Data Mining (Short Papers)
 Session Chair: Beat Wuthrich, Hong Kong University of Science and 
Technology
 
 - Empirical Results on Data Dimensionality Reduction Using the
   Divided Self-Organizing Map
   by T. Koshizen, H. Ogawa and J. Fulcher
 
 - The CLARET algorithm
   by A. Pearce and T. Caelli
 
 - LR Tree: A Hybrid Technique for Classifying Myocardial Infarction
   Data Containing Unknown Attribute Values
   by C. L. Tsien, H. S. F. Fraser and I. S. Kohane
 
4.15pm - 4.30pm: Break

4.30pm - 5:30pm Panel Discussion (Room 1)
To What Extent Can Data Mining Be Proceduralised?
Panel Chair: Ross Quinlan, RuleQuest Research Pty Ltd and UNSW

7:00pm
Program Committee Dinner

------------------------------------------------------------------------
 
REGISTRATION FORM
 
                        PAKDD-98, 15-17 April 1998
  Melbourne Convention Centre, Flinders Street, Melbourne, Australia
 
Conference Registration Fee:
 
               Before 1 April 1998       After 1 April 1998 
-------------------------------------------------------------
Regular (*)       AUS$400                      AUS$500 
Student           AUS$200                      AUS$250
Tutorials     one: $100; both: $150      one: $150; both: $250
Workshop             $100                         $100

Registration for the Workshop only: $180
 
If you register for one tutorial only, please tick
 
        ________ by Jiawei Han  ________ by Chris Wallace
 
(*) Conference dinner included for regular registration only. 
 
        ________ Yes, I would like to attend.
 
        ________ No, I do not wish to attend.
 
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