Knowledge Discovery Nuggets 97:17, e-mailed 97-05-15
KDD Nuggets Index
To KD Mine: main site for Data Mining and Knowledge Discovery.
To subscribe to KDD Nuggets, email to kdd-request
Past Issues: 97 Nuggets,
1996 Nuggets,
1995 Nuggets,
1994 Nuggets,
1993 Nuggets
Knowledge Discovery Nuggets 97:17, e-mailed 97-05-15
Publications:
*
Phil Chan, CFP: MLJ special issue on IMLM,
http://www.cs.fit.edu/~imlm/
Siftware:
*
P. Spedding, Cognos' Scenario Wins PC Week Labs Analyst's
Choice Award,http://www8.zdnet.com/pcweek/reviews/0505/05mining.html
Positions:
*
COMPUTATIONAL FINANCE at the Oregon Graduate Institute of Science &
Technology (OGI),http://www.cse.ogi.edu/CompFin/
*
George Smith, Research Assistant Position at UEA, Norwich, UK
Meetings:
*
Lipo Wang, 2nd Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD-98), Melbourne, Australia, 15-17 April 1998,
http://www.sd.monash.edu.au/pakdd-98
*
David Leake, ICCBR-97: First Call for Participation,
http://www.iccbr.org/iccbr-97.html
*
Hakan Erdogmus, CASCON'97 CfP,http://www.cas.ibm.ca/cascon/
*
John R. Koza, GP-97 Revised Call for Participation,
http://www-cs-faculty.stanford.edu/~koza/gp97.html
--
Data Mining and Knowledge Discovery community, focusing on the
latest research and applications.
Submissions are most welcome and should be emailed, with a
DESCRIPTIVE subject line (and a URL) to gps.
Please keep CFP and meetings announcements short and provide
a URL for details.
To subscribe, seehttp://www.kdnuggets.com/subscribe.html
KD Nuggets frequency is 3-4 times a month.
Back issues of KD Nuggets, a catalog of data mining tools
('Siftware'), pointers to Data Mining Companies, Relevant Websites,
Meetings, and more is available at Knowledge Discovery Mine site
athttp://www.kdnuggets.com/
-- Gregory Piatetsky-Shapiro (editor)
gps
********************* Official disclaimer ***************************
All opinions expressed herein are those of the contributors and not
necessarily of their respective employers (or of KD Nuggets)
*********************************************************************
~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If the fool would persist in his folly he would become wise.
William Blake
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From: 'IMLM Workshop (pkc)' (imlm@tuck.cs.fit.edu)
Subject: CFP: MLJ special issue on IMLM
Dear colleagues,
Here is a CFP for the Machine Learning Journal special issue on IMLM.
Submission is due on Oct 1st, 97. Hope you can submit. Thanks.
Phil, Sal, and Dave
------
CALL FOR PAPERS
Machine Learning Journal
Special Issue on
Integrating Multiple Learned Models
for Improving and Scaling Machine Learning Algorithms
Most modern Machine Learning, Statistics and KDD techniques use a
single model or learning algorithm at a time, or at most select one
model from a set of candidate models. Recently however, there has been
considerable interest in techniques that integrate the collective
predictions of a set of models in some principled fashion. With such
techniques often the predictive accuracy and/or the training
efficiency of the overall system can be improved, since one can 'mix
and match' among the relative strengths of the models being combined.
Any aspect of integrating multiple models is appropriate for the
special issue. However we intend the focus of the special issue to be
on the issues of improving prediction accuracy and improving training
efficiency in the context of large databases.
Submissions are sought in, but not limited to, the following topics:
1) Techniques that generate and/or integrate multiple learned
models. Examples are schemes that generate and combine
models by
* using different training data distributions
(in particular by training over different partitions
of the data)
* using different sampling techniques to generate different
partitions
* using different output classification schemes
(for example using output codes)
* using different hyperparameters or training heuristics
(primarily as a tool for generating multiple models)
2) Systems and architectures to implement such strategies.
For example,
* parallel and distributed multiple learning systems
* multi-agent learning over inherently distributed data
3) Techniques that analyze the integration of multiple learned models for
* selecting/pruning models
* estimating the overall accuracy
* comparing different integration methods
* tradeoff of accuracy and simplicity/comprehensibility
Schedule:
October 1: Deadline for submissions
December 15: Deadline for getting decisions back to authors
March 15: Deadline for authors to submit final versions
August 1998: Publication
Submission Guidelines:
1) Manuscripts should conform to the formatting instructions in:
http://www.cs.orst.edu/~tgd/mlj/info-for-authors.html
The first author will be the primary contact unless otherwise stated.
2) Authors should send 5 copies of the manuscript to:
Karen Cullen
Machine Learning Editorial Office
Attn: Special Issue on IMLM
Kluwer Academic Press
101 Philip Drive
Assinippi Park
Norwell, MA 02061
617-871-6300
617-871-6528 (fax)
kcullen@wkap.com
and one copy to:
Philip Chan
MLJ Special Issue on IMLM
Computer Science
Florida Institute of Technology
150 W. University Blvd.
Melbourne, FL 32901
407-768-8000 x7280 (x8062) (407-674-7280/8062 after 6/1/97)
407-984-8461 (fax)
3) Please also send an ASCII title page (title, authors, email, abstract,
and keywords) and a postscript version of the manuscript to
imlm@cs.fit.edu.
General Inquiries:
Please address general inquiries to:
imlm@cs.fit.edu
Up-to-date information is maintained on WWW at:
http://www.cs.fit.edu/~imlm/
Co-Editors:
Philip Chan, Florida Institute of Technology pkc@cs.fit.edu
Salvatore Stolfo, Columbia University sal@cs.columbia.edu
David Wolpert, IBM Almaden Research Center dhw@almaden.ibm.com
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[The following is a commercial announcement. GPS]
From: 'Spedding, Patrick' (Patrick.Spedding@Cognos.COM)
Subject: Cognos' Scenario Wins PC Week Labs Analyst's Choice Award
Date: Fri, 9 May 1997 05:36:20 -0400
Cognos' Scenario Wins PC Week Labs Analyst's Choice Award
BURLINGTON, Mass., May 6 /PRNewswire/ -- Cognos'(R) (Nasdaq: COGNF;
Toronto: CSN)
Scenario(TM) data mining tool won PC Week Labs Analyst's
Choice Award after a head-to-head review with a competing product. Scenario's
'innovative interface makes it the coolest software package we've seen
this year,' said the review, which cited its superiority, power and graphics.
Scenario extends the industry's most comprehensive business intelligence
product family, joining Cognos' market-leading PowerPlay(R), the
universal OLAP client, and award-winning Impromptu(R) query and reporting
tool.
'This award substantiates Cognos' belief that data mining in the
hands of business users offers up a powerful, functional and affordable
competitive edge,' said Alan Rottenberg, senior vice president, Business
Intelligence products. 'Putting data mining capabilities into the hands of decision makers
and knowledge workers extends our strategy of enabling them to react
quickly to newfound knowledge, whether in operational systems or data
warehouses.
Scenario joins Cognos' other award-winning business intelligence tools
for fastest time to results, lowest cost of ownership and unparalleled ease
of use.'
PC Weeks Labs, the world's largest independent testing laboratory,
applauded both Cognos' Scenario and the competitor for bringing new data
mining techniques to the PC. 'But in head-to-head testing,' it wrote,
'Scenario safely mined more usable information than its competitor,
making it our top pick.'
Designed for spotting patterns and exceptions in business data that
might
otherwise be missed, Scenario's sophisticated interface allows users to
readily visualize the business information being uncovered. It
automates the
discovery and ranking of critical factors impacting a business, exposes
hidden relationships between factors and establishes thresholds and benchmarks.
An intuitive, cost-effective desktop tool, Scenario liberates data mining
from what is typically an expensive and time-consuming process. Insights
derived using Scenario are achieved directly by those best positioned to
use the knowledge and effect rapid change.
Scenario 1.0, released in April 1997, is available from Cognos for
$695.
It runs on Windows 95 and Windows NT and requires an IBM-compatible 486
PC and 8 MB of RAM.
(seehttp://www8.zdnet.com/pcweek/reviews/0505/05mining.html
for PC week
comparison of Scenario and BusinessMiner. GPS)
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Date: Wed, 7 May 1997 11:46:09 -0700 (PDT)
From: Computational Finance (compfin@cse.ogi.edu)
Subject: Computational Finance Graduate Programs
=======================================================================
COMPUTATIONAL FINANCE at the Oregon Graduate Institute of Science &
Technology (OGI)
Master of Science Concentrations in
Computer Science & Engineering (CSE)
Electrical Engineering (EE)
Upcomming MS Application Deadline for Fall 1997: May 15 & June 15!
New! Certificate Program Designed for Part-Time Students.
For more information, contact OGI Admissions at (503)690-1027 or
admissions@admin.ogi.edu,
or visit our Web site at:
http://www.cse.ogi.edu/CompFin/
=======================================================================
Computational Finance Overview:
Advances in computing technology now enable the widespread use of
sophisticated, computationally intensive analysis techniques applied to
finance and financial markets. The real-time analysis of tick-by-tick
financial market data, and the real-time management of portfolios of
thousands of securities is now sweeping the financial industry. This has
opened up new job opportunities for scientists, engineers, and computer
science professionals in the field of Computational Finance.
The strong demand within the financial industry for technically
sophisticated graduates is addressed at OGI by the Master of Science and
Certificate Programs in Computational Finance. Unlike a standard two year
MBA, the programs are directed at training scientists, engineers, and
technically oriented financial professionals in the area of quantitative
finance.
The master's programs lead to a Master of Science in Computer Science and
Engineering (CSE track) or in Electrical Engineering (EE track). The MS
programs can be completed within 12 months on a full-time basis. In
addition, OGI has introduced a Certificate program designed to provide
professionals in engineering and finance a means of upgrading their skills
or acquiring new skills in quantitative finance on a part-time basis.
The Computational Finance MS concentrations feature a unique combination
of courses that provides a solid foundation in finance at a non-trivial,
quantitative level, plus the essential core knowledge and skill sets of
computer science or the information technology areas of electrical
engineering. These skills are important for advanced analysis of markets
and for the development of state-of-the-art investment analysis, portfolio
management, trading, derivatives pricing, and risk management systems.
The MS in CSE is ideal preparation for students interested in securing
positions in information systems in the financial industry, while the MS
in EE provides rigorous training for students interested in pursuing
careers as quantitative analysts at leading-edge financial firms.
The curriculum is strongly project-oriented, using state-of-the-art
computing facilities and live/historical data from the world's major
financial markets provided by Dow Jones Telerate. Students are trained in
the use of high-level numerical and analytical software packages for
analyzing financial data.
OGI has established itself as a leading institution in research and
education in Computational Finance. Moreover, OGI has strong research
programs in a number of areas that are highly relevant for work in
quantitative analysis and information systems in the financial industry.
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Date: Tue, 13 May 1997 14:40:06 +0100 (BST)
From: gds@sys.uea.ac.uk
(George Smith)
Subject: Research Assistant Position at UEA, Norwich, UK
The School of Information Systems, University of East
Anglia, Norwich has a vacancy for a
Research Assistant
to work on a project entitled 'Datamining in the
Telecommunications Sector'.
A computer graduate with at least a 2(I) degree in computing
or allied subject is sought for a two year post
starting August 1st, 1997, or as soon as possible
thereafter.
The appointee will work within a leading telecommunications
company, Nortel plc, on a day-to-day basis but
will be an employee of the University of East Anglia.
Opportunities will exist for registration for a part-time
higher degree at the University. A successful applicant will
be expected to have a high degree of numeracy and
a strong computing background. Preference will be given to
those who, in addition, have some knowledge
(and expertise) in one or more of the following:
evolutionary computation, operations research, artificial
intelligence or telecommunications.
The research is sponsored jointly by the Teaching Company
Scheme and by Nortel plc and involves the
development and application of various inference and
heuristic techniques, including genetic algorithms,
simulated annealing and tabu search, to elicit knowledge
from large scale data sets generated within the
telecommunications industry.
Initial salary to be determined but expected to be around
16K UK pounds.
Applicants are invited to telephone Dr George D Smith (+44
(0) 1603 593260) or email gds@sys.uea.ac.uk
for
further information.
Applications in the form of a covering letter plus three
copies of a CV, including the names and addresses of
three referees, should be sent to:
Dr George D Smith
School of Information Systems
University of East Anglia
Norwich
NR4 7TJ, UK
on or before Friday 6th June 1997.
Tel: + 44 (0)1603 593260
FAX: + 44 (0)1603 593344
Email: gds@sys.uea.ac.uk
www:http://www.sys.uea.ac.uk/Teaching/Staff/gds.html
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Date: Mon, 12 May 1997 16:14:32 +1000
From: Lipo Wang (lwang@deakin.edu.au)
Subject: CFP: Conference on Knowledge Discovery and Data Mining (PAKDD-98)
======================================================================
C A L L F O R P A P E R S
======================================================================
The Second Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD-98)
----------------------------------------------
Melbourne, Australia, 15-17 April 1998
======================================
URL:http://www.sd.monash.edu.au/pakdd-98
The Second Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD-98) will provide an international forum for the sharing
of original research results and practical development experiences
among researchers and application developers from different KDD
related areas such as machine learning, databases, statistics,
knowledge acquisition, data visualization, software re-engineering,
and knowledge-based systems. It will follow the success of PAKDD-97
held in Singapore in 1997 by bringing together participants from
universities, industry and government.
Papers on all aspects of knowledge discovery and data mining are
welcome. Areas of interest include, but are not limited to:
- Data and Dimensionality Reduction
- Data Mining Algorithms and Tools
- Data Mining and Data Warehousing
- Data Mining on the Internet
- Data Mining Metrics
- Data Preprocessing and Postprocessing
- Data and Knowledge Visualization
- Deduction and Induction in KDD
- Discretisation of Continuous Data
- Distributed Data Mining
- KDD Framework and Process
- Knowledge Representation and Acquisition in KDD
- Knowledge Reuse and Role of Domain Knowledge
- Knowledge Acquisition in Software Re-Engineering and Software
Information Systems
- Induction of Rules and Decision Trees
- Management Issues in KDD
- Machine Learning, Statistical and Visualization Aspects of KDD
(including Neural Networks and Inductive Logic Programming)
- Mining in-the-large vs Mining in-the-small
- Noise Handling
- Security and Privacy Issues in KDD
- Successful/Innovative KDD Applications in Science, Government,
Business and Industry.
Both research and applications papers are solicited. All submitted
papers will be reviewed on the basis of technical quality, relevance
to KDD, significance, and clarity. Accepted papers will be published
in the conference proceedings by an international publisher. A
selected number of the accepted papers will be expanded and revised
for inclusion in a special issue of an international journal.
All submissions should be limited to a maximum of 5,000 words. Four
hardcopies should be forwarded to the following address.
Professor Ramamohanarao Kotagiri (PAKDD '98)
Department of Computer Science
The University of Melbourne
Parkville, VIC 3052
Australia
Please include a cover page containing the title, authors (names,
postal and email addresses), an 200-word abstract and up to 5
keywords. This cover page must accompany the paper.
*************** I m p o r t a n t D a t e s ***************
* 4 copies of full papers received by: October 16, 1997 *
* acceptance notices: December 22, 1997 *
* final camera-readies due by: January 30, 1998 *
*************************************************************
Conference Chairs:
==================
Ross Quinlan Sydney University
Bala Srinivasan Monash University
Program Chairs:
===============
Xindong Wu Monash University
Ramamohanarao Kotagiri Melbourne University
Organising Committee Co-Chairs:
===============================
Kevin Korb Monash University
Graham Williams CSIRO, Australia
PAKDD-98 Publicity Chair:
=========================
Lipo Wang Deakin University
PAKDD-98 Tutorial Chair:
========================
Jon Oliver Monash University
PAKDD-98 Treasurer:
===================
Michelle Riseley Monash University
Program Committee:
==================
Grigoris Antoniou James Boyce Ivan Bratko
Mike Cameron-Jones Arbee Chen David Cheung
Vic Ciesielski Honghua Dai John Debenham
Olivier de Vel Tharam Dillon Guozhu Dong
Peter Eklund Usama Fayyad Matjaz Gams
Yike Guo David Hand Evan Harris
David Heckerman David Kemp Masaru Kitsuregawa
Kevin Korb Hingyan Lee Jae-Kyu Lee
Deyi Li Bing Liu Huan Liu
Zhi-Qiang Liu Hongjun Lu Dickson Lukose
Kia Makki Heikki Mannila Peter Milne
Shinichi Morishita Hiroshi Motoda Hwee-Leng Ong
Jon Oliver Maria Orlowska G. Piatetsky-Shapiro
Niki Pissinou Peter Ross Claude Sammut
S. Seshadri Hayri Sever Arun Sharma
Heinz Schmidt Evangelos Simoudis Atsuhiro Takasu
Takao Terano B. Thuraisingham Kai Ming Ting
David Urpani R. Uthurusamy Lipo Wang
Geoff Webb Graham Williams Beat Wuthrich
Xin Yao John Zeleznikow Dian-cheng Zhang
Ming Zhao Zijian Zheng Ning Zhong
Justin Zobel
Further Information
===================
Dr Xindong Wu
Department of Software Development
Monash University
900 Dandenong Road
Caulfield East, Melbourne 3145
Australia
Phone: +61 3 9903 1025
Fax: +61 3 9903 1077
Email: xindong@insect.sd.monash.edu.au
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Date: Tue, 6 May 1997 13:08:00 -0500 (EST)
From: 'David Leake' (leake@cs.indiana.edu)
Subject: ICCBR-97: First Call for Participation
ICCBR-97
Second International Conference on Case-Based Reasoning
Brown University
Providence, Rhode Island, July 25-27, 1997
Note: The early registration deadline is May 28, 1997 (extended from May 20).
Additional information is available fromhttp://www.iccbr.org/iccbr-97.html
Questions should be sent to iccbr97@iccbr.org.
--------------- Conference Overview ---------------
In 1995, the first International Conference on Case-Based Reasoning (ICCBR-95)
was held in Sesimbra, Portugal, as the start of a biennial series. ICCBR-97,
the Second International Conference on Case-Based Reasoning, will be held at
Brown University in Providence, Rhode Island, on July 25-27, immediately prior
to AAAI-97 and IAAI-97.
The program of ICCBR-97 will include both research and applications. The
three-day conference will feature invited talks, paper and poster sessions,
and panels presenting both mature work and new ideas, selected from over
100 submissions to the conference. The conference aims to achieve a
vibrant interchange between researchers and practitioners with different
perspectives on fundamentally related issues, in order to examine and
advance the state of the art in case-based reasoning and related fields.
Topics to be addressed in conference presentations include:
* Case representation, indexing and retrieval, similarity assessment, case
adaptation, and analogical reasoning
* Case-based and instance-based learning, index learning, and integrating
CBR with other learning methods
* Case-based reasoning and related approaches for task areas such as
education, design, and medicine
* Integration of CBR with other AI methods and comparisons to other
approaches
* Methods and systems for decision support, knowledge management, and
intelligent information retrieval
* Novel application areas for case-based techniques, deployed applications
with significant impact, and lessons learned from application
development
(Seehttp://www.iccbr.org/iccbr-97.html
for details on registration, etc.)
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Date: 8 May 1997 10:17:04 -0500
From: 'Erdogmus' (Erdogmus@sel.iit.nrc.ca)
Subject: CASCON'97 CfP
CASCON'97 web site:http://www.cas.ibm.ca/cascon/
--
CASCON'97: Meeting of Minds
November 10-13, 1997
International Plaza Hotel
Mississauga, Ontario, Canada
Dear Colleague,
CASCON '97, the seventh annual IBM Center for Advanced Studies Conference
is upon us. CASCON provides an excellent opportunity for academic,
governmental, and industrial research communities to share their work. We encourage you to
submit papers. The deadline for paper submissions is June 27, however, we
would like to know about your intention to submit a paper earlier (by May 16,
if possible). If you are thinking about submitting a paper, please
register as soon as possible on our web site at
http://www.cser.ca:8001/
All you have to do is to fill out a simple online form specifying a
tentative title and some keywords. This information can easily be changed
any time using the automated system.
This year, we are soliciting papers in a wide range of topics including =
but not limited to the following:
- Distributed systems and applications: Internet and the WWW, electronic
commerce, tele-learning, tele-medicine, CSCW, multimedia, distributed
object technologies, Java, performance analysis, high-speed networks,
and applications management
- Database technology: data mining, knowledge recovery, digital =
libraries, and data warehousing
- User technologies: human-computer interaction, navigation, and GUIs
- Software engineering and practices: maintenance, design recovery, program
understanding, visualization, reuse, frameworks and design patterns,
development environments, reliability, testing and validation,
metrics, and real-time systems
- Compiler technology: new techniques, compiler development, optimization,
parallelism, and architectures
For more information about CASCON'97, please visit the web site
http://www.cas.ibm.ca/cascon/
We are looking forward to your participation.
Dr. Hakan Erdogmus
CASCON'97 Program Co-chair
erdogmus@iit.nrc.ca
CASCON'97 web site:http://www.cas.ibm.ca/cascon/
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Date: Sat, 10 May 1997 13:09:26 -0700 (PDT)
From: 'John R. Koza' (koza@CS.Stanford.EDU)
Subject: GP-97 Revised Call for Participation
CALL FOR PARTICIPATION
Genetic Programming 1997 Conference (GP-97)
July 13 - 16 (Sunday - Wednesday), 1997
Fairchild Auditorium - Stanford University - Stanford, California
-----------------------------------------------------------------------
In cooperation with American Association for Artificial Intelligence (AAAI),
Association for Computing Machinery (ACM), SIGART, and Society for Industrial
and Applied Mathematics (SIAM)
-----------------------------------------------------------------------
WWW FOR GP-97:http://www-cs-faculty.stanford.edu/~koza/gp97.html
-----------------------------------------------------------------------
NOTE: You are urged to make your housing arrangements as early as possible
since convenient hotel locations are limited. Also, if you are driving
to the Stanford campus, please be aware of parking lot construction in
the area of Fairchild Auditorium and allow a little extra time
(particularly on the first Monday session) to find a parking place.
-----------------------------------------------------------------------
Genetic programming is an automatic programming technique for evolving
computer programs that solve (or approximately solve) problems. Starting with
a primordial ooze of thousands of randomly created computer programs, a
population of programs is progressively evolved over many generations using
the Darwinian principle of survival of the fittest, a sexual recombination
operation, and occasional mutation.
The first annual genetic programming conference in 1996 featured 15 tutorials,
2 invited speakers, 3 parallel tracks, 73 papers, and 17 poster papers in
proceedings book, and 27 late-breaking papers in a separate book distributed
to conference attendees, and 288 attendees. A description of GP-96 appears in
the October 1996 issue of Scientific American
http://www.sciam.com/WEB/1096issue/1096techbus3.html.
This second annual
conference in 1997 reflects the rapid growth of this field in which over 600
technical papers have been published since 1992. For August 5, 1996 article
in E. E. Times on GP-96 conference and August 12, 1996 article in E. E Times
on John Holland's invited speech at GP-96, go to
http://www.techweb.com/search/search.html
There will be 36 long, 33 short, and 15 poster papers at the Second Annual
Genetic Programming Conference to be held on July
13-16 (Sunday - Wednesday), 1997 at Stanford University.
In addition, there will be late-breaking papers (published in a separate
book in mid June after the June 11 deadline for late-breaking papers).
Topics include, but are not limited to,
applications of genetic programming, theoretical foundations of
genetic programming, implementation issues, technique extensions, cellular
encoding, 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, auto-parallelization of algorithms, automated circuit synthesis,
automatic programming of cellular automata, induction, system identification,
control, automated design, data and image compression, image analysis, pattern
recognition, molecular biology applications, grammar induction, and
parallelization. Papers describing recent developments are also solicited in
the following additional areas: genetic algorithms, classifier systems,
evolutionary programming and evolution strategies, artificial life and
evolutionary robotics, DNA computing, and evolvable hardware.
-----------------------------------------------------------------------
full information athttp://www-cs-faculty.stanford.edu/~koza/gp97.html
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