LINGUIST List 11.1669

Tue Aug 1 2000

Calls: Data Mining, Pacific Rim Knowledge Acquisition

Editor for this issue: Jody Huellmantel <>

As a matter of policy, LINGUIST discourages the use of abbreviations or acronyms in conference announcements unless they are explained in the text.


  1. Ning Zhong, IEEE Data Mining 2001
  2. Achim Hoffmann, PKAW2000: Pacific Rim Knowledge Acquisition Workshop

Message 1: IEEE Data Mining 2001

Date: Sun, 30 Jul 2000 19:23:21 +0900 (JST)
From: Ning Zhong <>
Subject: IEEE Data Mining 2001

- --------------------------------------------------------------------
 ICDM '01: The 2001 IEEE International Conference on Data Mining
 Sponsored by the IEEE Computer Society
- --------------------------------------------------------------------
 Silicon Valley, California, USA
 November 29 - December 2, 2001
 Home Page:

 Call for Papers

The 2001 IEEE International Conference on Data Mining (ICDM '01)
provides a forum for the sharing of original research results and
practical development experiences among researchers and application
developers from different data mining related areas such as machine
learning, automated scientific discovery, statistics, pattern
recognition, knowledge acquisition, soft computing, databases and data
warehousing, data visualization, and knowledge-based systems. The
conference seeks solutions to challenging problems facing the
development of data mining systems, and shapes future directions of
research by promoting high quality, novel and daring research
findings. As an important part of the conference, the workshops
program will focus on new research challenges and initiatives.

Topics of Interest

Topics related to the design, analysis and implementation of data
mining theory, systems and applications are of interest. These
include, but are not limited to the following areas:

 - Foundations and principles of data mining 
 - Data mining algorithms and methods in traditional areas (such as
 classification, clustering, probabilistic modeling, and
 association analysis), and in new areas
 - Data and knowledge representation for data mining 
 - Modeling of structured, textual, temporal, spatial, multimedia and
 Web data to support data mining
 - Complexity, efficiency, and scalability issues in data mining
 - Data pre-processing, data reduction, feature selection and feature
 - Statistics and probability in large-scale data mining
 - Soft computing (including neural networks, fuzzy logic,
 evolutionary computation, and rough sets) and uncertainty
 management for data mining
 - Integration of data warehousing, OLAP and data mining 
 - Man-machine interaction in data mining and visual data mining 
 - Artificial intelligence contributions to data mining 
 - High performance and distributed data mining 
 - Machine learning, pattern recognition and automated scientific
 - Quality assessment and interestingness metrics of data mining
 - Process centric data mining and models of data mining process 
 - Security and social impact of data mining 
 - Emerging data mining applications, such as electronic commerce,
 Web mining and intelligent learning database systems

Conference Publications and ICDM Best Paper Awards

High quality papers in all data mining areas are solicited. Papers
exploring new directions will receive a careful and supportive
review. All submitted papers should be limited to a maximum of 6,000
words (approximately 20 A4 pages), and will be reviewed on the basis
of technical quality, relevance to data mining, originality,
significance, and clarity. Accepted papers will be published in the
conference proceedings by the IEEE Computer Society Press. A selected
number of ICDM '01 accepted papers will be expanded and revised for
possible inclusion in the Knowledge and Information Systems journal
( ) by Springer-Verlag.

ICDM Best Paper Awards will be conferred on the authors of the best
papers at the conference.

Important Dates

 June 15, 2001 Paper submissions. 
 July 31, 2001 Acceptance notices.
 August 31, 2001 Final camera-readies.
 Nov 29 - Dec 2, 2001 Conference.

Detailed instructions for paper submissions will be provided on the
conference home page at .

Conference Chair:

 Xindong Wu, Colorado School of Mines, USA

Program Committee Chairs:

 Nick Cercone, University of Waterloo, Canada
 T.Y. Lin, San Jose State University, USA
ICDM '01 Workshops Chair:

 Johannes Gehrke, Cornell University, USA

ICDM '01 Tutorials Chair:

 Chris Clifton, MITRE, USA

ICDM '01 Panels Chair:

 Ramamohanarao Kotagiri, University of Melbourne, Australia

ICDM '01 Publicity Chair:

 Ning Zhong, Maebashi Institute of Technology, Japan
ICDM '01 Local Arrangements Chair:

 Xiaohua (Tony) Hu, Blue Martini Software Inc., USA

ICDM Steering Committee

 Max Bramer, University of Portsmouth, UK
 Nick Cercone, University of Waterloo, Canada
 Ramamohanarao Kotagiri, University of Melbourne, Australia
 Katharina Morik, University of Dortmund, Germany
 Xindong Wu, Chair (Colorado School of Mines, USA)
 Philip S. Yu, IBM T.J. Watson Research Center, USA
 Ning Zhong, Maebashi Institute of Technology, Japan
 Jan M. Zytkow, University of North Carolina, Charlotte, USA

Further Information

 Dr. Xindong Wu
 Dept. of Mathematical and Computer Sciences,
 Colorado School of Mines,
 1500 Illinois Street,
 Golden, Colorado 80401, 

 Telephone: +1-303-273-3874
 Facsimile: +1-303-273-3875
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Message 2: PKAW2000: Pacific Rim Knowledge Acquisition Workshop

Date: Mon, 31 Jul 2000 12:54:50 +1000
From: Achim Hoffmann <>
Subject: PKAW2000: Pacific Rim Knowledge Acquisition Workshop

NEW: Invited Speakers: Brian Gaines and Mildred Shaw
Selected papers from PKAW2000 are planned to be invited
for an edited volume on knowledge acquisition to be published
in 2001. Negotiations with scientific publishers are underway.

 2nd Call for Papers

 PKAW 2000: The 2000 Pacific Rim Knowledge Acquisition Workshop

 Venue: Holiday Inn, Coogee Beach, Sydney, Australia

 Date : Sydney, December 11-13, 2000

 Co-located with ALT 2000

Paper submission DEADLINE: 28 August 2000.


 Topics of Interest
 Participation and Submission of Papers
 Important Dates
 Instructions for Paper Submission
 Workshop Organisers
 Program Committee


 The objective of this workshop is to assemble theoreticians and
 practitioners concerned with developing methods and systems that assist
 the knowledge acquisition process and assessing the suitability of such
 methods. Thus, the workshop includes all aspects of eliciting,
 acquiring, modeling and managing knowledge, and their role in the
 construction of knowledge-intensive systems. Knowledge acquisition
 still remains the bottleneck for building a knowledge based system.
 Reuse and sharing of knowledge bases are major issues and no
 satisfactory solutions have been agreed upon yet. There is a wide range
 of research. Much of the work in this field has been knowledge
 acquisition from human experts. The advent of the age of digital
 information has brought the problem of data overload. Our ability to
 analyze and understand massive datasets lags far behind our ability to
 gather and store the data. A new generation of computational techniques
 and tools is required to support the acquisition of useful knowledge
 from the rapidly growing volume of data. All of these are to be
 discussed in this workshop.

 This workshop offers an opportunity to draw together both aspects of
 dealing with the situated nature of human knowledge and expertise and
 of developing methods that depend more on their algorithmic adequacy
 than on the expertise of the knowledge engineer.

Topics of Interest

 Papers are invited in all aspects of knowledge acquisition for
 knowledge-based systems, including (but not restricted to):

 * Fundamental views on knowledge that affect the knowledge acquisition
 process and the use of knowledge in knowledge engineering
 * Algorithmic approaches to knowledge acquisition
 * Tools and techniques for knowledge acquisition, knowledge maintenance
 and knowledge validation
 * Evaluation of knowledge acquisition techniques, tools and methods
 * Knowledge acquisition, machine learning and knowledge discovery
 * Languages and frameworks for knowledge and knowledge modeling
 * Integration of knowledge acquisition techniques with wider information
 systems or decision support systems
 * Methods and techniques for sharing and reusing knowledge
 * Distributed knowledge acquisition through infrastructures such as the

Participation and Submission of Papers

 Despite the more open nature of this workshop the major goal remains to
 encourage vigorous interaction and exchange of ideas. Consequently, the
 workshop participation will be kept small - less than 40 participants.
 Persons not submitting papers can also request to participate. Authors
 are invited to formulate an issue that would be useful to discuss.
 Software demonstrations related to presented papers are also

 The submissions will be reviewed by members of the program committee.
 Accepted papers will be published in the proceedings and distributed at
 the workshop as well as on the WWW. Authors will retain copyright of
 their papers.

 For more information about the workshop, please contact the Workshop

Important Dates

 * Papers due by: August 28, 2000
 * Notification of Acceptance: October 20, 2000
 * Camera-ready version of Final paper due: November 20, 2000
 * Date of Workshop: December 11-13, 2000

Instructions for Paper Submission

 Papers describing original research or practical experiences from
 building knowledge-based systems should be submitted in Postscript
 or pdf format. We expect papers to be between 10 and 20 pages of length.
 They should be printed in 12pt font for normal text. The text area
 should be 22cm x 16cm and centered on each page.
 For submission, authors should send an e-mail to Achim Hoffmann
 with the paper title, name of all authors and a URL from which the
 paper can be accessed. The subject should be: "PKAW2000 submission".
 The e-mail must be received by 28 August 2000.

Workshop and Program Committee Chairs:

 Paul Compton (University of New South Wales, Australia)
 Achim Hoffmann (University of New South Wales, Australia)
 Hiroshi Motoda (Osaka University, Japan)
 Takahira Yamaguchi (Shizuoka University, Japan)

Program Committee

 Richard Benjamins (Intelligent Software Components, S.A., Spain)
 Ghassan Beydoun (University of New South Wales, Australia)
 Bob Colomb (University of Queensland, Australia)
 John Debenham (CSIRO and University of Technology, Sydney, Australia)
 Rose Dieng (INRIA, France)
 Dieter Fensel (University of Amsterdam, The Netherlands)
 Udo Hahn (Freiburg University, Germany)
 Noriaki Izumi (Shizuoka University, Japan)
 Byeong Kang (University of Tasmania, Australia)
 Hideto Kazawa (NTT, Japan)
 Yasuhiko Kitamura (Osaka City University, Japan)
 Rob Kremer (University of Calgary, Canada)
 Huan Liu (Arizona State University, USA)
 Maria Lee (CSIRO, Australia)
 Rodrigo Martinez (University of Murcia, Spain)
 Tim Menzies (NASA, USA)
 Toshiro Minami (Kyushu University & Fujitsu Laboratories Limited, Japan)
 Enrico Motta (Open University, UK)
 Frank Puppe (University of Wuerzburg, Germany)
 Ulrich Reimer (Suisse Life, Switzerland)
 Debbie Richards (Macquarie University, Australia)
 Shusaku Tsumoto (Shimane Medical University, Japan)
 Seiji Yamada (Tokyo Institute of Technology, Japan)

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