NEW !!!
 

 


Submission Instruction

Conference Proceedings will be published by the Springer-Verlag (in the Lecture Notes in Artificial Intelligence series). All submissions should follow the Springer-Verlag guidelines and be no more than 12 pages. (Formatting information for author is available from the Springer-Verlag web site at http://www.springer.de/comp/lncs/authors.html.) Submission due date is November 19, 2000.

Please include a cover page containing the title, authors (names, postal and email addresses), a 200-word abstract and up to 5 keywords. Authors are invited to email their papers (as PostScript or PDF attachments) to :

                                       pakdd01@eti.hku.hk

Or send FIVE COPIES to:

                            Dr. David Cheung (PAKDD-01)
                            E-Business Technology Institute
                            The University of Hong Kong
                            Pokfulam, Hong Kong

 

Journal Publication
Authors of selected papers will be invited to have their paper included in a special issue of an international data mining journal.
 

Topics
We invite submission in the areas of KDD research and application. Areas of interest include but are not limited to:
 

  • Foundations and principle of data mining
  • Data mining and data warehousing
  • Mining in multidimensional databases
  • Data mining support for data warehouse design
  • Integration with data warehousing/OLAP
  • Web based mining
  • Data mining applications in e-commerce
  • Parallel and distributed mining
  • Visual data mining and visualization in data mining
  • Resource discovery in the Internet
  • Data mining in heterogeneous databases
  • Machine learning for data mining
  • Knowledge representation and acquisition in KDD
  • Rule induction and decision trees
  • Statistical methods in data mining
  • Exploratory data analysis
  • Clustering and classification
  • New application challenges and requirements
  • Data mining applications
  • Performance and benchmarks of KDD systems
  • Security and social impact of data mining


Call for tutorial proposals
Tutorials from a key component of the conference. It is planned to hold the tutorials on Monday, 16 April 2001. Proposals for tutorials addressing issues in data mining, knowledge discovery and applications are invited New applications such as temporal and spatial data mining, Asian language text mining, collaborative, filtering, personalization, eCRM, and e-marketplace data mining are of special interest. Proposals should be submitted by 31 October 2000 to the Tutorial Chair at jhuang@eti.hku.hk or to :

                         Dr. Joshua Z.Huang
                         E-Business Technology Institute
                         The University of Hong Kong
                         Pokfulam Road, Hong Kong
 


Call for workshop proposals
Workshops provide an opportunity for focused exploration of current and ongoing research in specific areas of KDD. It is planned to hold the workshops on Monday, 16 April 2001.

Proposal for workshops addressing issues in data mining, knowledge discovery and applications are invited. Proposals should be submitted by 31 October, 2000 to the Workshop Chair at mng@maths.hku.hk or to :

                           Dr. Michael K.Ng
                           Department of Mathematics
                           The University of Hong Kong
                           Pokfulam Road, Hong Kong

 

Call for system demonstrations
Proposals for system demonstrations are invited and should be submitted by 15 January 2001 to the Chair at jiming@comp.hkbu.edu.hk or to:

                            Dr. Jiming Liu
                            Computer Science Department
                            Hong Kong Baptist University
                            Kowloon Tong, Hong Kong