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Lorenza Saitta, Call for Participation to MSL-98,
4th International Workshop on Multistrategy Learning,
June 11-13, 1998, Desenzano del Garda, Italy http://www.di.unito.it/~msl98
--
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~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
'Statistical techniques are embedded in neural
network-based products. Consequently, some people think
that data mining is an automated process that doesn't
require sophisticated analysis. That's an illusion.'
--Jianmin Liu, Bank of America (CIO Magazine, May 15, 1998) Previous1NextTop
Date: Sun, May 31 1998 09:41:10 -0500 (EST)
From: Gregory Piatetsky-Shapiro gps
Subject: List of KDD-98 accepted papers
Web: http://www-aig.jpl.nasa.gov/public/kdd98/kdd_schedule.html
18 Plenary and 49 poster papers have been accepted.
KDD-98 will also feature
8 free tutorials
1.5 days of exhibits with 3 exhibit talks,
3 invited talks
3 panels
2 conference reports,
Best Paper awards,
KDD Cup presentation,
3 workshops
and 2 receptions!
All this promises to make KDD-98 a very exciting conference.
The actual schedule will be available soon.
Cover Story in CIO Magazine, May 15, 1998,
entitled Advanced Navigation (by Peter Fabris), talks about data mining
at a number of banks, including Chase Manhattan, Fleet, Bank of America,
and Bank of Montreal.
HAVE YOU EVER SEEN ONE OF THOSE posters
that at first glance looks like a jumble of colored dots?
Stare at it, and a three-dimensional picture will jump out
from the pointillistic background. Now, think of those dots as the
bits of information about your customers contained in your
company's databases. If you look at the dots of information in
the right light and at the right angle, they will reveal patterns that
yield insight into customer behavior.
The banking industry has stared hard at its customer data
'dots' to analyze customer behavior, and it has learned valuable
lessons for other industries that use data mining. Although banks
have employed statistical analysis tools with some success for
several years, previously unseen patterns of customer behavior
are now coming into clear focus with the aid of new data mining tools.
Did you ever think about using neural networks and fuzzy technologies for
your data analysis task? Are you interested in getting to know DataEngine,
the software tool for intelligent data analysis?
MIT - Management Intelligenter Technologien GmbH offers to meet one of our
experts during Chemical Engineering Exposition and Conference in Houston http://www.che.com
which takes place from June 3 to 4, 1998 in George R.
Brown Convention Center, Houston, TX.
MIT GmbH will contribute the paper 'Data Mining for Process Analysis and
Optimization' in session #15, Plant Optimization-Rt.2, June 3,
3:45pm-5:15pm. Everyone interested in process analysis and quality control
could gain important information by participating and will have the
opportunity to experience DataEngine live!
***************** REPLY FORM TO PRODUCTS@MITGMBH.DE
*********************
( ) Please send me full information and a free demo on DataEngine.
( ) Please send me a quotation for the evaluation license of DataEngine.
( ) I am interested in becoming your distributor for USA.
My address is: __________________________________________________________
International Summer School on
Knowledge Discovery in Databases and Data Mining:
Methods and Applications
-------------------------------------------------
Caminha, Portugal,
28 September-4 October 1998
EAIA-98 of APPIA - Portuguese Association for AI http://www.di.fct.unl.pt/eaia98
General Framework
The widespread introduction of computers in business and commerce has
lead to generation of vast quantities of data. This is due to the fact
that any simple transaction, such a simple phone call, use of a credit
card or a medical test are typically stored inside a computer.
There is clearly a need for automated techniques which would help us
to deal with such vast quantities of data. The objective of this
summer school is to address these issues in detail and provide an
up-to-date review of this area.
The Programme
The topics addressed by the summer school will include:
- Overview of knowledge discovery from databases and data mining;
- Applications of data-mining in finance, fraud detection, marketing, sales,
quality control;
- Analysis of environmental data; Text mining;
- Machine learning and statistical methods;
- Data analysis, classification, clustering and regression;
- Data reduction methods; Selecting features & reducing the number of values;
- Multirelational data mining and logical approaches (ILP);
- Use of meta-learning and computer assisted experimentation in discovery.
To whom the course is oriented
The Summer School aims to serve both the academics and companies. It
should be useful both to University staff seeking to continue in their
postgraduate studies, as well as technical staff in companies seeking
to obtain a deeper understanding of the area of KDD and/or introduce
new technologies in their respective area of expertise.
Lecturers:
- Ashwin Srinivasan, Univ. of Oxford, UK
- Boris Mirkin, DIMACS, Rutgers University, USA
- Fernando Moura-Pires (and collaborators), Univ. Nova de Lisboa, Portugal,
- Nitin Indurkhya, Univ. of Sydney
- Paula Brito, LIACC, Univ. do Porto, Portugal
- Pavel Brazdil, (and collaborators), LIACC, Univ. do Porto,Portugal
- Reza Nakhaeizadeh, Daimler Benz, AG, Germany,
- Stefan Wrobel, GMD, Germany,
- Saso Dzeroski, Josef Stefan Institute, Slovenia
among others.
Company Presentations (Case studies etc.)
About 10 national/international companies are being contacted.
Some have already indicated their interest to participate
(incl. Daimler-Benz AG).
The Intelligent Computer Systems Centre (ICSC) at UWE, Bristol, will run their
MSc in Machine Learning & Adaptive Computing
again this year.
Graduates in this area of computing are much sought after by business and
industry and find employment in areas as diverse as data mining, communication
systems and advanced robotics.
The Course draws on the practical experience of staff engaged in research and
in collaborative work with industry.
The ICSC's programme of research is in evolutionary computing, machine
learning, neural networks and distributed computing. It is a management
node for the European Network of Excellence in Evolutionary Computing and
is currently involved in a number of EU projects in the aforementioned areas.
On completion of the Course:
You will have Java and C skills (if, you don't have them already).
You will know about rule induction, neural networks, evolutionary computing,
knowledge acquisition, agent-based computing and their applications.
You will know how to apply advanced computing techniques to a data set
and get sensible answers.
You should be very employable.
The Course is open to graduates in computing, or science/engineering with
a basic knowledge of IT. It is taken full-time and includes a 4 month
placement in business, industry or the university's own research groups.
Funding may be available for UK students only.
For further details contact:
The Administrator
The Intelligent Computer Systems Centre
Faculty of Computer Studies & Mathematics
University of the West of England
Bristol, BS16 1QY
e-mail : admin@ics.uwe.ac.uk http://www.ics.ac.uk
Telephone +44 (0) 117 9763857
Fax +44 (0) 117 9750416
Are you planning to attend AAAI-98, ILP'98, ICML'98, or COLT'98?
If so, please visit the AAAI web site at http://www.aaai.org/Conferences/National/1998/aaai98.html
for information
about how to preregister for these conferences. There is also information
about the workshops cosponsored by AAAI and The Cognitive Science Society,
AAAI and ICML'98, and two independent workshops sponsored by the Computing
Research Association. A student housing form is also available that can be
used by attendees at AAAI-98, COLT'98, ILP'98, ICML'98 and UAI'98.
I have attached a copy of the AAAI-98/IAAI-98 Registration Form for your
convenience. This form can be used to register for AAAI-98, ILP'98,
ICML'98, or COLT'98. For information about how to register for any of the
other collocated conferences in Madison (including GP'98, SGA'98, UAI'98,
CogSci'98, or ST&D'98), please visit the web site above for links to
individual conference home pages.
The early preregistration deadline for AAAI-98, ILP'98, ICML'98, and
COLT'98 is next Wednesday, May 27, and the final preregistration deadline
is June 24. Student housing forms must be submitted to the University of
Wisconsin Housing Office no later than June 24.
Please feel free to contact AAAI at ncai@aaai.org
if you have any questions
about how to register for any of the above conferences. We hope to see all
of you in Madison this summer!
The Fourth International Conference on Knowledge Discovery and Data Mining
New York City, August 31, 1998
CHAIRS:
Hillol Kargupta
Faculty of Computer Science
School of Electrical Engineering and Computer Science
Washington State University
Pullman, WA 99164-2752
e-mail: hillol@eecs.wsu.edu
Philip Chan
Computer Science
Florida Institute of Technology
150 W. University Blvd.
Melbourne, FL 32901
email: pkc@cs.fit.edu
PROGRAM COMMITTEE:
David Levine, Boeing Corporation
Foster Provost, Bell Atlantic
Jiawei Han, Simon Fraser University
Michael Huhns, University of South Carolina
Ron Musick, Lawrence Livermore Laboratory
Salvatore Stolfo, Columbia University
Vincent Ng, Hong Kong Polytechnic University
William Cohen, AT&T Labs Research
Zoran Obradovic, Washington State University
WORKSHOP DESCRIPTION AND OBJECTIVES:
Automated detection of patterns from large amount of data is often called
data mining. As computing and communication are increasingly converging to
each other, mining data, stored in distributed databases with adequate
attention to security related issues, is of growing interest. Distributed
data mining (DDM) systems are finding an increasing number of applications
in popular Intranet/Internet environments, data mart based warehousing
architectures, network intrusion detection, geographical information
systems and many others. This workshop will provide a platform for
discussing theoretical and applied research issues in DDM. The topics
of interest include, but are not limited to:
THIRD ANNUAL GENETIC PROGRAMMING CONFERENCE (GP-98)
--------------------------------------------------------------
CALL FOR PARTICIPATION
--------------------------------------------------------------
July 22 - 25 (Wednesday - Saturday), 1998
University of Wisconsin - Madison, Wisconsin
(Held just before AAAI-98 on July 26 - 30, 1998 in Madison)
--------------------------------------------------------------
--------------------------------------------------------------
In Cooperation with the American Association for
Artificial Intelligence (AAAI), the IEEE Neural
Networks Council, Association for Computing Machinery (ACM),
ACM SIGART, and IEEE Systems, Man, and Cybernetics Society
--------------------------------------------------------------
GENERAL INFORMATION: Genetic programming is an
automatic programming technique for evolving computer
programs that solve (or approximately solve) problems. Over
800 technical papers have been published since 1992 in this
rapidly growing field. There will be 132 papers presneted
at the GP-98 conference as well as additional late-breaking
papers and a pre-conference PhD workshop. There are 23 tutorials
at GP-98. Attendance of GP-97 was 341.
-------------------------------------------------------------
TOPICS: Topics include, but are not limited to, applications of
genetic programming, theoretical foundations of genetic
programming, implementation issues, technique extensions, use
of memory and state, cellular encoding (developmental genetic
programming), evolvable hardware, evolvable machine language
programs, automated evolution of program architecture,
evolution and use of mental models, automatic programming of
multi-agent strategies, distributed artificial intelligence,
automated circuit synthesis, automatic programming of cellular
automata, induction, system identification, control, automated
design, compression, image analysis, pattern recognition,
molecular biology applications, grammar induction, and
parallelization.
The main focus of the GP-98 conference (and most
of the papers) is on genetic programming. In addition,
papers describing recent developments in closely related
areas of evolutionary computation will be reviewed and
selected by special program committees appointed
and supervised by special program chairs. These areas will
include
--- genetic algorithms - Kalyanmoy Deb and David E. Goldberg
--- evolutionary programming - Kumar Chellapilla and David Fogel
--- evolution strategies - Wolfgang Banzhaf
--- classifer systems - Rick Riolo
--- evolvable hardware - Hitoshi Iba
--- DNA computing - Max Garzon
--- evolutionary robotics - Marco Dorigo
------------------------------------------------------------------
We are inviting authors to submit manuscripts to the special sessions
held in IDEAL'98. The goal of IDEAL'98 is to provide a forum for
researchers and engineers from academia and industry to meet and to
exchange ideas on the latest developments in data mining, financial
engineering, knowledge discovery, and learning. This symposium is held
every two years and the two major tracks for this year are Financial
Engineering and Data Mining.
TITLES OF SPECIAL SESSIONS
==========================
Time Series Analysis and Prediction
Evolutionary Computing in Data Mining
Soft Computing in Financial Applications
Learning Methods & Algorithms in Practice
Case Studies in Knowledge Discovery
IMPORTANT DATES
===============
Submission of Paper June 8, 1998
Pre-Symposium Tutorials October 14, 1998
4th International Workshop
on Multistrategy Learning
Desenzano del Garda
(Italy)
Palazzo del Turismo
- Via Porto Vecchio
June 11-13, 1998
The rapid expansion of Machine Learning approaches and methods
creates a strong need for investigating their relationships and for providing
frameworks in which they can fruitfully and easily be integrated. Multistrategy
Learning Workshops provide a forum for presenting and discussing research
on these topics and related issues, such as interactions between Machine
Learning and other fields, in particular, Cognitive Science, Data Mining
and Knowledge Discovery, Intelligent Agents, and Natural Language Processing.
Topics of interest
include:
* Comparative studies of
learning strategies, methods and paradigms
* Cognitive models of learning,
inference, and discovery
* Knowledge extraction from
data, texts and/or images
* Multistrategy methods
for learning and/or mining WWW
* Multistrategy learning
systems
* Methods for integrating
learning strategies
* Control in multistrategy
learning systems
* Applications
The workshop is organized as a series of discussions, to which invited
speakers, authors of contributed papers and attendees shall actively participate.
To this aim, suitable time slots are planned, both formally inside the
program, and informally, outside it. The preliminary program can be found
at:
Knowledge Discovery Nuggets Index