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Knowledge Discovery Nuggets(tm) 98:14, e-mailed 98-06-23
News:
(text)
Won Kim, SIGKDD -- Knowledge Discovery and Data Mining ACM SIG formed!
http://www.kdnuggets.com/sigkdd/
(text)
Gregory Piatetsky, KDD-98 Hotel Reservations update
Requests:
(text)
Hillol Kargupta, KDD-98 Workshop on Distributed Data Mining
Looking for Sponsors,
http://www.eecs.wsu.edu/~hillol/kdd98ws.html
(text)
Peggy Wright, Research Help Needed RE: Missing Value Problem
Publications:
(text)
Maria Zemankova, 'Teaming with Life': a role for IT/CS communities
http://www.whitehouse.gov/WH/EOP/OSTP/Environment/html/teamingcover.html
Tools/Services:
(text)
W Spangler, CViz Cluster Visualization software
http://www.alphaWorks.ibm.com/Home/
(text)
David Jensen, AILA: Webpages updated to version 2.0
http://eksl-www.cs.umass.edu/aila/
Positions:
(text)
Kathy Rokop, Los Alamos National Laboratory -
Deputy Division Director for Research
http://www.hr.lanl.gov
(text)
Gregory Piatetsky-Shapiro, Several Data Mining Positions at
Knowledge Stream Partners
Courses:
(text)
Ronny Kohavi, MineSet 2.5 training courses:
July, September and October
http://mineset.sgi.com/training
(text)
Gabor Por, Knowledge Ecology University
http://www.KnowledgeEcology.com/keu/
Meetings:
(text)
Belur Dasarathy, SPIE's International Symposium on
Data Mining and Knowledge Discovery: Theory, Tools, and Technology,
Orlando, FL, April 5-9, 1999
http://members.tripod.com/~belur/kdd.html
(text)
Trini Flores, SIAM Conference on Optimization
May 10-12, 1999, Atlanta, Georgia
http://www.siam.org/meetings/op99/
(text)
Ibrahim Imam, I & E Applications of AI & Systems IEA/AIE-99,
Cairo, Egypt, May 31- June 3, 1999
http://mason.gmu.edu/~iimam/ieaaie99/WS99.html
--
on the latest news, publications, tools, meetings, and other relevant items
in the Data Mining and Knowledge Discovery field.
KDNuggets is currently reaching over 5100 readers in 70+ countries
2-3 times a month.
Items relevant to data mining and knowledge discovery are welcome
and should be emailed to gps
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An item should have a subject line which clearly describes
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details, such as papers submission guidelines. All items may be edited for size.
To subscribe, see http://www.kdnuggets.com/subscribe.html
Back issues of KDNuggets, a catalog of data mining tools
('Siftware'), pointers to data mining companies, relevant websites,
meetings, etc are available at KDNuggets Directory at
http://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 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Before the beginning of great brilliance, there must be Chaos
Before a brilliant person begins something great, they must look
foolish to the crowd.
I Ching
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Date: Fri, 19 Jun 1998 18:15:34 -0500
From: Won Kim won.kim@cyberdb.com
Subject: SIGKDD -- Knowledge Discovery and Data Mining ACM SIG formed!
Web: http://www.kdnuggets.com/sigkdd/
ACM SIGKDD formed: Knowledge Discovery and Data Mining Society
under ACM umbrella
The Knowledge Discovery and Data Mining field stands today where the
database field stood about 15 years ago. There are over a 100
companies providing data-mining tools and applications, consulting and
seminars, and even specialized hardware. The field is in the early
adoption phase in the market, and we expect that within about 3-5
years, commercial products and the vendors will start entering the
maturation phase. Within the next 10 years, in some form, the
technology of data mining and knowledge discovery in data will become
an integral part of the client/server enterprise information
technology.
Complementing business activities, there is considerable emerging
research in the fields of databases, machine learning, applied statistics,
visualization, and other fields relevant to
data mining and knowledge discovery.
This is evidenced by the recent emergence of successful KDD conferences
in the US, Europe, and Asia as well as the successful launch in 1997
of the
Data Mining and Knowledge Discovery Journal.
ACM is the first and the premiere
computing society in the world. ACM supports
a number of SIGs (Special Interest Groups) in the fields of
database, information retrieval, artificial intelligence, graphics,
and others.
We announce a formation of SIGKDD -- Special Interest Group of ACM --
a professional Knowledge Discovery and
Data Mining Organization under the umbrella of ACM.
The primary focus of SIGKDD is to provide
the premier forum for advancement and adoption of the 'science' of
knowledge discovery and data mining. To do this, the
SIGKDD will encourage
- basic research in KDD (through annual research conferences, newsletter and other related activities)
- adoption of 'standards' in the market in terms of
terminology, evaluation, methodology
- interdisciplinary education among KDD researchers,
practitioners, and users
Despite all the activities, both in the market
and in R&D laboratories, the field is in its infancy.
Many of the commercial products do not have the
robustness, scalability, and functionality that customers
require. Various data-mining algorithms impose serious restrictions on
their application. The process of knowledge discovery and data mining
is far from automated, and therefore can be quite difficult to use
effectively.
The field of knowledge discovery and data mining is an
interdisciplinary one, requiring cross fertilization of several
fields, as noted earlier. Therefore, SIGKDD will work closely with
other related ACM SIGs, including SIGMOD, SIGART, SIGMIS, SIGIR,
SIGCHI, SIGGRAPH, etc., as well as non-ACM societies, such as AAAI,
IEEE, ASA (American Statistical Association), etc. The collaboration
will take the form of in-cooperation (and possibly co-sponsorship)
arrangements for the annual SIGKDD conferences, and possible cross
publication of relevant technical articles and informational data in
the newsletters.
Researchers and practitioners from fields other than
computer science (such as statistics and mathematics) will
be particularly welcome in SIGKDD.
Against this backdrop, many of the leaders of the field have agreed to
the formation of an international society on knowledge discovery and
data mining as an ACM SIG. In particular, the KDD Conference steering
committee, composed of former program and general chairs of previous KDD
conferences, has enthusiastically supported the formation of SIGKDD.
The initial activities of
SIGKDD will include converting the KDD conference into a SIGKDD annual
conference, and creating a SIGKDD newsletter. The newsletter will
publish invited and submitted technical articles, news, user stories,
etc. The conference will publish a proceedings of all accepted
technical papers on both
research and applications in the field of KDD.
The conference will include presentations of technical papers, tutorials, panel
discussions, prototype exhibits, etc. The conference is expected to
attract severak hundred attendees.
Brief biographical sketches of five of the prominent leaders of the
field who have committed to championing the efforts of SIGKDD, besides are at
www.acm.org/sigkdd
The SIGKDD Bylaws and the initial year budget have both been approved
by the ACM SIG Board on June 13, 1998.
The provisional executive committee of SIGKDD will consist of
Won Kim, Ph.D., Chair
Rakesh Agrawal, Secretary/Treasurer
Usama Fayyad, Director and Editor of SIGKDD Newsletter
Gregory Piatetsky-Shapiro, Director
Daryl Pregybon, Director
Padhraic Smyth, Director
The Chair position and the Secretary/Treasurer position
are elective ones and will be contested at the end of the SIG provisional
period. These six people will form an executive committee,
and there will be a separate advisory committee consisting of
prominent leaders from various disciplines both academia and industry.
The biographical sketches of the SIGKDD officers are at
http://www.kdnuggets.com/sigkdd/
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Date: Fri, 19 Jun 1998 09:37:24 -0700
From: Gregory Piatetsky-Shapiro gps
Subject: KDD-98 Hotel Reservations
Mary Beth Jensen of AAAI let me know that there were still over 150 rooms
available at New York Marriott Marquis, site of VLDB-98 and KDD-98
conferences.
The conference is listed as KDD-98, Knowledge Discovery and Data
Mining '98 and AAAI. There should be no problems getting the conference
rate of $147.00.
To get the correct information please call the hotel directly at
212/704-8930 and mention KDD-98
(Do not call the global 1-800 number, where they don't have the correct
information ).
If there are any problems please refer them to Joanne Leto,
Conference Services Manager.
Mary Beth has asked the hotel to fix the 1-800 problem.
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Date: Tue, 16 Jun 1998 23:22:36 -0700 (PDT)
From: Hillol Kargupta hillol@eecs.wsu.edu
Subject: KDD-98 Workshop on Distributed Data Mining Looking for Sponsors ?
Web: http://www.eecs.wsu.edu/~hillol/kdd98ws.html
We are organizing a workshop on Distributed Data Mining in KDD-98,
New York City, August 31, 1998. Details about the workshop can be
found at http://www.eecs.wsu.edu/~hillol/kdd98ws.html
We are looking for sponsors for the invited talks and lunch/refreshments.
KDD is the premier meeting place for data mining researchers and
practitioners. If you are interested in sponsoring activities of
this workshop, for further details please contact,
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
http://www.eecs.wsu.edu/~hillol
---Hillol Kargupta
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Date: Wed, 17 Jun 1998 13:57:21 -0500
From: Peggy Wright WRIGHTP@ex1.wes.army.mil
Subject: Research Help Needed RE: Missing Value Problem
In the January 1997 issue of Intelligent Data Analysis, Famili et al.
reported a 'traditional method' for selecting records based on the
percentage of missing values. I felt like this was an improvement to
discarding or using all records with missing values.
I would like to do some research along these lines, but I've been unable
to find any other references to this approach. I need to find out if others
are using this approach and if it is based on a signigicant stopping
criteria, or is a heuristic based on domain knowledge and/or mining
experience, or if the 20% is arbitrary. Please respond to
pwright@cs.msstate.edu.
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Date: Wed, 17 Jun 1998 09:57:40 -0500
From: Maria Zemankova mzemanko@nsf.gov
Subject: 'Teaming with Life': a role for IT/CS communities
Web: http://www.whitehouse.gov/WH/EOP/OSTP/Environment/html/teamingcover.html
The President's Committee of Advisors for Science and Technolog (PCAST)
recently released a report 'Teaming with Life: Investing in Science to
Understand and Use America's Living Capital'
http://www.whitehouse.gov/WH/EOP/OSTP/Environment/html/teamingcover.html
This is a motivational report for research in sustainable ecology (an issue
that affects us all). Furthermore, a strong case is made that reserach in
computer science, library and information science, and communications
technology (IT/CS) is vital to the success of developing a National
Biodiversity Information Infrastructure and achieving the biodiversity and
ecology research goals as well as societal, educational and economic
benefits.
Section I: Increase the Information Content of the National Biological
Information Infrastructure and Section IV: Build a Next Generation'
National Biological Information Infrastructure (with our own Michael Lesk
being quoted!) are most relevant to the IT/CS communities.
There is plenty of motivation to start thinking about the research issues
and forming partnerships with the ecologists, etc.
This paragraph from Section IV says it very clearly:
'The biodiversity and ecosystems information domain is not at present as
amenable to correlation, analysis, synthesis and presentation across
networks as are other domains because of the problems of complexity pointed
out above and because the CS/IT community has, to date, more or less
ignored these sorts of data and the associated challenges. A concerted
research effort, by government, business, and academia is needed, and
needed soon, so that the masses of data and information that are stored in
the museums, libraries, and government agencies of this country, and that
are generated daily by Mission to Planet Earth and other activities, can be
put to good use.'
Maria Zemankova
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From: W Spangler spangles@us.ibm.com
Subject: CViz Cluster Visualization software
Date: Tue, 16 Jun 1998 14:41:55 -0400
Web: http://www.alphaWorks.ibm.com/Home/
The CViz cluster visualization software is now available from IBM alphaworks.
This java application will take a clustering as input or do the clustering
itself. It will then display a visual image of the data in planes most
relavant to the data classification provided by the clustering.
This software package has many cool features. Aside from the usual bar/pie
charts, there are contour plots, magnified views, whisker charts, similarity
graphs, and animated rotations. The package reads in data from comma separated
flat files. The data can be numeric or categorical.
Since CViz is written in Java, it runs on almost any hardware. Simply download
the java runtime environment from Sun. This software is currently free from
alphaworks for a limited time.
The URL for alphaworks is: http://www.alphaWorks.ibm.com/Home/
--Scott
W. Scott Spangler
Senior Systems Analyst
net.Mining R&D staff
IBM - Global Business Intelligence
http://w3.data-mining.ibm.com/~spangles
Phone: 408-927-2887 or 8-457-2887
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Date: Thu, 4 Jun 98 16:54:00 -0400
From: David Jensen jensen@cs.umass.edu
Subject: AILA: Webpages updated to version 2.0
Web: http://eksl-www.cs.umass.edu/aila/
The AI & Link Analysis webpages http://eksl-www.cs.umass.edu/aila/
have been updated to version 2.0.
New links include:
ORION Scientific Systems -- makers of ORIONLink.
Tom Sawyer -- makers of graph visualization component software.
ReferralWeb -- A system for inferring social networks from web
pages including an online version of an AI magazine article
and a Java-based demonstration.
Arrowsmith -- A system for inferring previously unknown
linkages in medical databases.
LINK -- a software library for quick and easy creation,
manipulation, loading, and storage of graphs, hypergraphs,
and their attributes.
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Date: Fri, 19 Jun 1998 08:55:52 -0600
From: Kathy Rokop krokop@lanl.gov
Subject: Position: Los Alamos National Laboratory - Deputy Division Director for Research
Web: http://www.hr.lanl.gov
Los Alamos National Laboratory - Deputy Division Director for Research
We are seeking a creative and visionary person to lead the research
activities of one of the largest scientific computing capabilities in
the world and to serve as liaison to external scientific and academic
communities. The research component of the Computing, Information, and
Communications Division currently has 100 researchers and a $30M
budget.
The successful candidate will be responsible for enhancing our
computer science research capability and leading the division into new
directions in basic and applied research. A major thrust will be to
develop capabilities and understanding in support of the 100-teraop
computing environment projected by the ASCI/DELPHI programs.
In parallel with our efforts in modeling and simulation, we wish to
enlarge our sphere of influence in information sciences by expanding
our expertise in knowledge discovery and applying it to important
national problems.
The Computing, Information, and Communications Division serves several
crucial functions in support of Los Alamos National Laboratory's
primary missions. These functions include providing the computational
support for a broad spectrum of modeling and simulation activities,
from the analysis tools that enable annual certification of the
nuclear weapons stockpile to forecasting global climate change and
modeling the behavior of a wildfire.
The excellence of the Laboratory's advanced working environment is
matched by the desirability of its setting. Los Alamos is a close-knit
community with a small-town feel and a fine school system. The city's
location in the beautiful Jemez mountains of northern New Mexico
provides a breathtaking backdrop and diverse outdoor activities.
A wide variety of cultural opportunities abound within the city and in
nearby Santa Fe and Taos.
This position requires a Ph.D. in computer science or a related field, a
record of accomplishment in computer science research and leadership of a
significant research activity, and the ability to obtain a Q-clearance.
If you meet these qualifications, please e-mail your resume and
publication list to jobs@lanl.gov
, fax them to (505) 665-1079, or
mail them to the
Human Resources Division
Los Alamos National Laboratory
Job # 983403 Nuggets,
MS P286,
Los Alamos, NM 87545.
Explore our human resources Web site
to learn more about job opportunities at Los Alamos National Laboratory:
http://www.hr.lanl.gov.
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Date: Fri, 19 Jun 1998 09:37:24 -0700
From: Gregory Piatetsky-Shapiro gps
Subject: Several Data Mining Positions at Knowledge Stream Partners
Knowledge Stream Partners, a Data Mining Consulting and Integration Company is
looking for SEVERAL excellent data miners.
TASK: Participate in several consulting studies for some of the largest
financial institutions world-wide; be able to use commercial data mining tools
and develop new tools; develop customized data mining solutions
for a number of vertical markets; participate in business discussions and
customer presentations.
Senior candidates will have an opportunity to lead a customer engagement team.
We also have open positions for customer engagement manager, System/Data architect,
and sharp system development/maintenance gurus.
The candidates will join a group of world-class experts in data
warehousing, data mining and knowledge discovery.
Ideal candidates will have a Ph.D. in Databases, Machine Learning, Statistics,
or related fields and 2-8 years of experience, or an M.S. with an
equivalent experience. The candidates should have expertise with
different modeling approaches, including decision trees/rules, neural
networks, or bayesian belief networks.
The candidates should be familiar with statistical theory and have practical
experience with databases.
Excellent coding skills in C/Java/Unix/tcl environment along with
good system maintenance practices and the ability to
quickly pick up new systems and languages are needed.
The candidates should also have good communication skills, be
able to work in a team, and enjoy the exciting atmosphere of
a start-up company.
Most of all, candidates should have the passion for developing and
applying innovative methods for solving practical problems.
We offer very competitive salaries, and our outstanding benefits include
profit sharing, stock options, medical/dental insurance, and a 401(k)
plan.
The data mining/consulting branch is conveniently located
next to the historic Faneuil Hall http://www.bostonian.com/faneuil/
in the heart of historic Boston,
close to countless excellent restaurants, shops, and places of entertainment,
and is accessible by public transportation (Government Center stop).
The candidate should be a US citizen or permanent resident or otherwise
authorized for employment in the US.
Please email your resume and a cover letter to gps@kstream.com
(in plain ASCII or Microsoft Word, please)
or mail or fax it to:
Gregory Piatetsky-Shapiro, Ph.D.
Chief Scientist
Knowledge Stream Partners
148 State Street, 3rd floor
Boston MA 02109 USA
fax: 617-742-5820
web: http://www.kstream.com/
http://www.kdnuggets.com/gps.html
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Date: Thu, 18 Jun 1998 21:48:15 -0700
From: Ronny Kohavi ronnyk@starry.engr.sgi.com
Subject: MineSet 2.5 training courses: July, September and October
Web: http://mineset.sgi.com/training
We are pleased to announce three more data mining and visualization
courses using Silicon Graphics' award winning MineSet 2.5 product.
The courses are geared towards people interested in understanding data
mining and visualization with MineSet hands-on experience on
real-world scenarios and case studies.
The courses will be offered at the following places
Jul 28-30, 1998 Mountain View CA
Sep 08-10, 1998 Silver Spring MD
Oct 20-22, 1998 Dallas TX
By attending the course, you will understand:
o What is the knowledge discovery process.
o What are the capabilities and limitations of the MineSet product.
o How to use MineSet to solve your business problems and
maximize the value of your data.
o How to effectively manage your mineset sessions.
o How to connect to your existing databases and take advantage of
parallel hardware.
o How to use the MineSet interfaces to build applications.
o How to deploy models across your company, how to launch
visualizations from the web, and how to setup PCs to connect to
MineSet.
The three-day course is taught by an outside instructor who
regularly consults in data mining and can share a balanced perspective
of the strengths and weaknesses of MineSet.
The classroom is set up with Silicon Graphics workstations to
facilitate hands-on training with one person per machine. The classes
are small (about 10 people). The class costs $1125.
To register for the course please visit
http://mineset.sgi.com/training
or call 1.800.800.4744 (option 4).
To see answers to general questions and previous feedback on the course,
please visit: http://mineset.sgi.com/training/faq.html
You can also subscribe to the MineSet mailing list by visiting:
http://mineset.sgi.com/maillist.html
-- MineSet team (mineset@sgi.com,
mineset.sgi.com)
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Date: Wed, 17 Jun 1998 14:15:04 -0700
From: Gabor Por webmaster@co-i-l.com
Subject: Knowledge Ecology University
Web: http://www.KnowledgeEcology.com/keu/
Knowledge Ecology University
The world-class faculty of Knowledge Ecology University invites you to a
learning journey to explore an ecosystem of knowledge which you can use for
becoming a better practitioner of your calling.
Courses are offered on: communities of practice, facilitation,
organizational intelligence, creativity in business, and knowledge ecology:
a management discipline focused on the relational and community aspects of
knowledge creation, sharing and utilization. In addition to the 'virtual
classrooms', there are also community areas on our electronic campus which
provide opportunities for enhancing mutual learning, appreciation and
synergy among KEU students.
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Date: Thu, 11 Jun 1998 14:34:14 -0700 (PDT)
From: 'Dr.Belur V. Dasarathy' belur@yahoo.com
Subject: CALL FOR PAPER - FORMAL ANNOUNCEMENT FORM SPIE
Web: http://members.tripod.com/~belur/kdd.html
Call for Papers and Announcement
Part of SPIE's International Symposium on AeroSense
5-9 April 1999
Marriott's Orlando World Center Resort and Convention Center
Orlando, Florida USA
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
(or49)
On-site Proceedings. Abstracts for this conference are due by 24 August
1998. Manuscripts are due by 11 January 1999.
Conference Chair: Belur V. Dasarathy, Dynetics, Inc.
The conference is designed to emphasize the inter-disciplinary nature of
the fields of data mining and knowledge discovery, nurture, and exploit
the synergism among the contributing disciplines and widen the scope for
application of these tools to cover the aerospace, defense, civilian
domains. Papers are invited in all areas of interest to the DM&KD
community, including:
* theoretical foundations of Data Mining and Knowledge Discovery
* machine learning and pattern recognition tools for DM&KD
* applied statistical tools including clustering
* algorithmic techniques including fuzzy approaches to database query
* applications of DM & KD to expert systems
* mining massive data stores of sensor data in manufacturing
* mining remotely sensed multispectral and hyper-spectral imagery data
bases
* mining knowledge in various data scenarios including text, image,
audio, sensor, numeric, symbolic, or mixed format data sources
* internet applications
* other applications of DM&KD in science, engineering, medicine
including government and industry.
A keynote address by Dr. Fayyad, one of the leading proponents of the
field, is being planned. The conference will also include a seminar
/tutorial/panel discussion, details of which will be announced in due
course.
For Submission and more info -- see
http://members.tripod.com/~belur/kdd.html
Abstract Due Date: 24 August 1998
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Date: Mon, 15 Jun 98 10:02:32 -0500
From: Trini Flores, flores@siam.org
Subject: SIAM Conference on Optimization
Web: http://www.siam.org/meetings/op99/
SIAM Conference on Optimization
May 10-12, 1999
Radisson Atlanta Hotel
Atlanta, Georgia
One of the conference major themes is Machine Learning and Data
Mining. For more information about the conference themes, invited
speakers, deadlines for submissions of minisymposium proposals,
contributed abstracts, and registration, please visit the World Wide
Web atwww.siam.org/meetings/op99/
or send e-mail to
meetings@siam.org.
Society for Industrial and Applied Mathematics (SIAM)
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Date: Mon, 15 Jun 1998 10:27:40 -0400
From: Ibrahim Imam ifi@think.com
Subject: I & E Applications of AI & Systems IEA/AIE-99
Web: http://mason.gmu.edu/~iimam/ieaaie99/WS99.html
CALL FOR PAPERS: The Twelfth International Conference on
Industrial & Engineering Applications of
Artificial Intelligence & Expert Systems IEA/AIE-99
Le Meridien Cairo, Cairo, Egypt, May 31- June 3, 1999
Sponsored by: International Society of Applied Intelligence
Organized in Cooperation with:
AAAI, ACM/SIGART, CSCSI, ECCAI, IEE, INNS, JSAI, SWT
IEA/AIE-99 continues the tradition of emphasizing applications
of artificial intelligence and expert/knowledge-based systems to
engineering and industrial problems. Topics of interest include, but are
not limited to:
Automated Problem Solving Intelligent Agents Natural Language Processing
Adaptive Control Intelligent Networks Neural Networks
CAD/CAM Intelligent Database Planning & Scheduling
Case-based Reasoning Intelligent Interfaces Practical Applications
Computer Vision Intelligent Tutoring Reasoning Under Uncertainty
Connectionist Models KBS Methodologies Robotics
Data Mining Knowledge Acquisition Sensor Fusion
Distributed AI Architect Knowledge Discovery Spatial & Temporal Reasoning
Expert Systems Knowledge Representation Speech Recognition
Fuzzy Logic Machine Learning System Integration Tools
Genetic Algorithms Model-based Reasoning Verification & Validation
Heuristic Searching
Authors are invited to submit 1) a URL address containing a printable
version of their paper; 2) a list of key words (some sample topics are
listed above); 3) no more than one page (by email) describing: a) the
contribution, b) the significance, and c) the results of the presented
work; and 4) one hard copy of their paper to the Program Co-chair at the
address given below no later than October 31,
1998. A list of special tracks will be announced through the URL:
http://mason.gmu.edu/~iimam/ieaaie99/ieaaie99.html
For submission guidelines and other info see URL above.
[edited GPS]
Dr. Moonis Ali Dr. Ibrahim Imam
General Chair of IEA/AIE-99 Program Co-Chair of IEA/AIE-99
Southwest Texas State University Thinking Machines Corporation
Department of Computer Science 16 New England Executive Park
601 University Drive, Burlington, MA 01803, USA
San Marcos TX 78666-4616 USA Email: ifi@think.com
Email: ma04@swt.edu
WORKSHOPS and TUTORIALS:
Researchers are invited to submit a
workshop, a tutorial, or a special track session proposal to the Program
Co-Chair, Ibrahim Imam, preferably by email before July 20, 1998.
Decisions will be mailed by July 30, 1998.
Email: ifi@think.com
Workshop proposals should follow the guideline at:
http://mason.gmu.edu/~iimam/ieaaie99/WS99.html
Tutorial proposals should follow the guideline at:
http://mason.gmu.edu/~iimam/ieaaie99/TU99.html
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