11.1669, Calls: Data Mining, Pacific Rim Knowledge Acquisition
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LINGUIST List: Vol-11-1669. Tue Aug 1 2000. ISSN: 1068-4875.
Subject: 11.1669, Calls: Data Mining, Pacific Rim Knowledge Acquisition
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=================================Directory=================================
1)
Date: Sun, 30 Jul 2000 19:23:21 +0900 (JST)
From: Ning Zhong <zhong at maebashi-it.ac.jp>
Subject: IEEE Data Mining 2001: Call for Papers
2)
Date: Mon, 31 Jul 2000 12:54:50 +1000
From: achim at cse.unsw.edu.au (Achim Hoffmann)
Subject: PKAW2000: Brian Gaines speaks in Sydney, Australia
-------------------------------- Message 1 -------------------------------
Date: Sun, 30 Jul 2000 19:23:21 +0900 (JST)
From: Ning Zhong <zhong at maebashi-it.ac.jp>
Subject: IEEE Data Mining 2001: Call for Papers
[Apologies if you receive this more than once]
- --------------------------------------------------------------------
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: http://kais.mines.edu/~xwu/icdm/icdm-01.html
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
transformation
- 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
discovery
- Quality assessment and interestingness metrics of data mining
results
- 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
(http://kais.mines.edu/~kais/) 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 http://kais.mines.edu/~xwu/icdm/icdm-01.html.
Conference Chair:
=================
Xindong Wu, Colorado School of Mines, USA
(xindong at computer.org)
Program Committee Chairs:
=========================
Nick Cercone, University of Waterloo, Canada
(ncercone at math.uwaterloo.ca)
T.Y. Lin, San Jose State University, USA
(tylin at mathcs.sjsu.edu)
ICDM '01 Workshops Chair:
=========================
Johannes Gehrke, Cornell University, USA
(johannes at cs.cornell.edu)
ICDM '01 Tutorials Chair:
=========================
Chris Clifton, MITRE, USA
(clifton at mitre.org)
ICDM '01 Panels Chair:
======================
Ramamohanarao Kotagiri, University of Melbourne, Australia
(rao at cs.mu.oz.au)
ICDM '01 Publicity Chair:
=========================
Ning Zhong, Maebashi Institute of Technology, Japan
(zhong at maebashi-it.ac.jp)
ICDM '01 Local Arrangements Chair:
==================================
Xiaohua (Tony) Hu, Blue Martini Software Inc., USA
(tonyhu at bluemartini.com)
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,
USA.
Telephone: +1-303-273-3874
Facsimile: +1-303-273-3875
E-mail: xindong at computer.org
-------------------------------- Message 2 -------------------------------
Date: Mon, 31 Jul 2000 12:54:50 +1000
From: achim at cse.unsw.edu.au (Achim Hoffmann)
Subject: PKAW2000: Brian Gaines speaks in Sydney, Australia
My aplogies, if you receive this cfp more than once.
Achim Hoffmann
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
(http://www.cse.unsw.edu.au/~achim/PKAW2000)
Paper submission DEADLINE: 28 August 2000.
Contents
Introduction
Topics of Interest
Participation and Submission of Papers
Important Dates
Instructions for Paper Submission
Workshop Organisers
Program Committee
------------------------------------------------------------------------
Introduction
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
Internet
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
encouraged.
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
Chairs.
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)
E-mail: compton at cse.unsw.edu.au
Achim Hoffmann (University of New South Wales, Australia)
E-mail: achim at cse.unsw.edu.au
Hiroshi Motoda (Osaka University, Japan)
E-mail: motoda at ar.sanken.osaka-u.ac.jp
Takahira Yamaguchi (Shizuoka University, Japan)
E-mail: yamaguti at cs.inf.shizuoka.ac.jp
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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