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Nelson Ebecken, CFP: Brazil International Conference on Data Mining,
Rio de Janeiro, RJ - Brazil, 2-4 September, 1998 http://www.coppe.ufrj.br/eventos/data_mining/mining.htm
--
on the latest news, publications, tools, meetings, and other relevant items
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~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
'Examined closely, it is seen that historical data is constantly changing.'
-- W H Inmon , in DS Star article ,
The Second Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD-98, http://www.sd.monash.edu.au/pakdd-98/,
held at the
Melbourne Convention Centre, Melbourne, Australia, on 15-17 April
1998, was a great success. It attracted over 120 people from 18
countries, including Australia, USA, Canada, UK, Belgium, France,
Germany, Greece, Hong Kong, Japan, Netherland, Poland, Singapore,
Taiwan, Turkey, and New Zealand.
The conference program consisted of 2 tutorials, 3 invited talks, 1
panel discussion, 1 pre-conference workshop, and a number of technical
sessions for refereed paper presentations. The topic of the panel
discussion was `To What Extent Can Data Mining Be Proceduralised?',
and the theme of the workshop is `Parallel and Distributed Data
Mining'. The 2 tutorials were `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 included: 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 have been published by Springer-Verlag, and the book
details are as follows.
- X Wu, R Kotagiri, and K Korb (Eds), Lecture Notes in Artificial
Intelligence 1394: Research and Development in Knowledge Discovery
and Data Mining (Proceedings of the Second Pacific-Asia Conference
on Knowledge Discovery and Data Mining), Springer-Verlag,
Heidelberg, Germany, 1998. ISSN 0302-9743; ISBN 3-540-64383-4.
424 + xvi pp.
PAKDD-98 was the 2nd conference in the PAKDD conference series.
PAKDD-97 (in Singapore) was a great start, and PAKDD-98 has seen a
booming year in Australia. To make the conference one of the best
international conferences, a PAKDD Steering Committee was formed at
PAKDD-98 to coordinate PAKDD activities. The terms of reference for
the PAKDD Steering Committee are available on the Web at http://www.sd.monash.edu.au/pakdd-98/steering.shtml.
PAKDD-99 will be held in April 1999 in Beijing, China. The call for
papers of PAKDD-99 will be available soon.
Xindong Wu and Ramamohanarao Kotagiri
Program Chairs, PAKDD-98
I`d like to inform KDNuggets readers of the possibility to submit
innovative applications
in the area of Electronic Commerce to the international
COMDEX Applications Awards `98, sponsored by Microsoft, Siemens Nixdorf and
Software AG. Media partner Ziff Davis Deutschland.
The Awards last year were very successful with over 160
entries submitted from more than 10 countries world wide.
Journal of Computational Intelligence in Finance
Call for Papers: Special Issue on
'Financial News Analysis using Distributed Data Mining'
The Journal of Computational Intelligence in Finance, a peer-reviewed
technical journal, published by Finance & Technology Publishing, is
seeking papers for review and publication on 'Financial News Analysis
using Distributed Data Mining'.
The Journal of Computational Intelligence in Finance publishes applied
research and practical applications of high quality that are based on
sound theoretical, empirical or quantitative analysis. It provides the
international forum for the convergence of the new multi-disciplined
field of computational intelligence in finance.
Papers published in JCIF are eligible for the 'Distinguished Essay on
Computational Intelligence in Finance' award, which is selected by the
Editorial Board each year.
PAPERS DUE: September 15, 1998
ACCEPTANCE NOTIFICATION: November 30, 1998
FINAL REVISED MANUSCRIPTS DUE: January 15, 1999
PUBLICATION DATE: March 1999
GUEST EDITORS
Zoran Obradovic Stuart H. Rubin
Associate Professor Associate Professor
Elec. Eng. & Comp. Sci. Dept. of Comp. Sci.
Washington State University Central Michigan University
Pullman, WA 99164-2752, USA Mt. Pleasant, MI 48859, USA zoran@eecs.wsu.edurubin@cps.cmich.edu
MOTIVATION
Recent technological developments, the rapid growth of the World Wide Web,
and maturing corporate intranet structures have led to the rapid
dissemination of huge amounts of financial news and information (newspaper
articles, financial services information, corporate publications, stock
exchange news, peer-reviewed financial journal articles, etc.). However,
cost and time constraints prohibit an exhaustive search through or download
of all potentially relevant financial news and information available on the
Internet, for later analysis and processing. One possible solution is to
distribute information sampling over a large number of locations in order
to classify local data, construct a pool of relevant information, and
generate useful rules that might be further analyzed or processed at a
central location. This requires intelligent and dynamic domain
decomposition, as well as flexible software agents for symbolic information
processing.
SCOPE
All papers submitted must focus on the data mining of financial news and
information, and on applications of interest to financial analysis or
decision-making, investing or trading. Of particular interest are
algorithms and techniques that both incorporate computational intelligence
and are unique or especially relevant to financial tasks. Authors are
invited to submit papers on the design of automated, scalable, distributed
knowledge discovery systems for financial information mining on the
Internet, to address issues related to:
We are pleased to announce that the long-awaited special
'Aritificial Intelligence Journal' issue on
*RELEVANCE*
is now available! Its 11 original articles, written by leading
researchers from various fields, cover a diverse range of topics,
from learning and learnability, to representation and reasoning
to game-playing --- and includes both empirical and theoretical
results. See http://www.cs.ualberta.ca/~greiner/Relevance-AIJ.html
for the titles, authors and abstracts of the articles,
including the editors' introduction.
Previous5NextTop
Date: Tue, 21 Apr 1998 13:36:59 -0400
From: 'Prof. Krzysztof Cios' kcios@eng.utoledo.edu
Subject: IEEE Engineering in Medicine and Biology Spec. Issue on
on 'Medical Data Mining and Knowledge Discovery.'
IEEE Engineering in Medicine and Biology will publish a Special Issue on
on 'Medical Data Mining and Knowledge Discovery.'
The articles should describe
knowledge discovery process in any medical field, using any type of data. Of
particular interest, however, are papers describing results from databases of
medical images.
The articles should be written very clearly, using a tutorial-like style, to
appeal to a broad audience that includes both medical professionals and
engineers.
It is planned that about eight articles will be accepted for the special issue
to be published by the end of 1999. If you are interested in submitting a
paper please contact Krzysztof Cios (kcios@eng.utoledo.edu),
guest editor for
the special issue, for more details. Full papers should be submitted to the
guest editor by October 1, 1998. Each paper will be reviewed by at least two
reviewers.
Krzysztof J. Cios
Professor of Bioengineering &
of Electrical Engineering and Computer Science
Updated information is now available on the NSF Online
Document System for the following document (nsf9855):
Title: KDI: Knowledge and Distributed Intelligence
Type: Program Announcements & Information
Subtype: Computer/Information Sciences, Crosscutting Programs,
Education, Social/Behavioral Sciences, Biology
Note: Full proposal deadlines have changed; see the KDI home page http://www.ehr.nsf.gov/kdi/
for details. For proposals encompassing more
than one KDI component, the deadline is determined by the primary
component, indicated by the choice of organizational unit -- KDI/KN,
KDI/LIS, KDI/NCC -- at the top of the cover sheet in FastLane.
FOURTEENTH CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE
Papers accepted for presentation at
the Fourteenth Conference on Uncertainty in Artificial Intelligence
(UAI-98) are available at http://www.uai98.cbmi.upmc.edu
Each paper will be presented at a plenary or poster session.
All papers will appear in the proceedings of the conference.
For details about the conference, including on-line registration and
information about a full-day course on uncertain reasoning, please visit
the conference web page at the URL above.
Bar-Ilan Workshop on KDD -- Knowledge Discovery in Databases
May 20-21, 1998
Bar-Ilan University, Ramat-Gan, Israel
Wednesday: Economics Building Auditorium;
Thursday: Math and Computer Science Building, 3rd Floor
Invited hour speakers:
Michael Kearns (AT&T Labs -- Research)
Ronen Feldman (Bar-Ilan Univ.)
Haym Hirsh (Rutgers Univ.)
Simon Kasif (Univ. of Illinios, Chicago)
The Bar-Ilan Research Institute for Computer Science will sponsor a workshop on
Knowledge Discovery to be held May 20-21, 1998 at the university. All lectures
will be in English. Wednesday lectures will be in the Economics Building;
Thursday lectures will be in the Mathematics and Computer Science Building.
The tentative schedule of talks is given below.
Knowledge discovery from data is a broad discipline that integrates methods
from machine learning, statistics, databases, rule-based systems, and other
areas. It includes algorithms for data selection, pattern discovery,
clustering, managing uncertainty, and trend analysis. An on-line proceedings
of extended abstracts will be made available shortly before the workshop.
Registration in advance is requested in order to insure sufficient seating
and refreshments. There is no fee for attendance. Registration should be
sent by email to research@cs.biu.ac.il
using the form below.
Support for the workshop has been provided by Bar-Ilan University, the Office
of the Rector, the Faculty of Natural Sciences and Mathematics, the Department
of Mathematics and Computer Science, and the Israeli Ministry of Science.
International Conference on Data Mining
Rio de Janeiro, RJ - Brazil
2-4 September, 1998
The International Conference on Data Mining will provide an
international forum for the sharing of original research
results and practical development experiences among researchers
and application developers from different areas such as machine
learning, databases, statistics, knowledge acquisition, data
visualization and knowledge-based systems by bringing together
participants from universities, industry and government.
Papers on all aspects of knowledge discovery and data mining
are welcome. Both research and applications papers are solicited.
Accepted papers will be published in the conference proceedings.
All submissions should be limited to a maximum of 5000 words.
Three hardcopies should be forwarded to the following address:
Prof. Nelson F. F. Ebecken
COPPE/Federal University of Rio de Janeiro
Caixa Postal 68506
21945-970 Rio de Janeiro - RJ
Brazil
Fone: (55 21) 560.8993/560.8776/560.7941
Fax: (55 21) 280.9545/290.6626
e-mail: nelson@ntt.ufrj.br
Please include a cover page containing the title, authors (names,
postal and e-mail addresses), a 200-word abstract and up to 5
keywords.
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