*
F. Chong, Information on agent-based data mining ? *
Russell Greiner, moved from Siemens to University of Alberta Publications: *
Saso Dzeroski, CFP: Data Mining and Knowledge Discovery
Special issue on Inductive Logic Programming and KDD,
Positions: *
Donal Lyons, Fulbright Scholar Program 1999-2000 as part
of Data Mining Group in Dublin, Ireland *
Andreas Weigend, Faculty Jobs at Stern (NYU Business School) Meetings: *
Shusaku Tsumoto, CFP: RSCTC'98, ROUGH SETS AND CURRENT TRENDS
IN COMPUTING (RSCTC'98), June 22-26, 1998, Warsaw, Poland
*
E. Mephu-Nguifo, CFP: JFA'98, French-speaking Conference on
Machine Learning, Arras, France, May 18-20, 1998
--
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.
KD Nuggets frequency is 2-3 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 KD Nuggets web site
at
********************* Official disclaimer ***************************
All opinions expressed herein are those of the contributors and not
necessarily of their respective employers (or of KD Nuggets)
*********************************************************************
~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
What is counted does not always counts and
what counts is not always counted
Albert Einstein
(thank to John Mikulowich) Previous1NextTop
Date: Wed, 29 Oct 1997 09:07:37 -0500
From: Gregory Piatetsky (gps)
Subject: New Section in Yahoo: Business and Economy: Companies:
Computers: Software: Data Mining
This section includes a subset of all companies active in the field:
see
Previous2NextTop
Date: Thu, 23 Oct 1997 10:26:20 +0100
From: Fuey S Chong (F.S.Chong-ACS97@cs.bham.ac.uk)
Subject: Information on agent-based data mining
Hi,
I am an MSc student and am currently working on a project on agent-based
data mining (ie. using agents to do data mining). I have problem
locating materials and papers on this topic. I would like to know if
somebody is working on this area and where I can find such information.
Thank you.
Regards,
Phyllis Chong
[P.S. if you have such information, please CC to gps,
and I will summarize to kdnuggets readers]
Previous3NextTop
From: Russell Greiner (greiner@scr.siemens.com)
Subject: ...new location for Russell Greiner ...
After enjoying many productive years at Siemens Corporate Research,
I have decided to return to academia. Starting 1/Nov/97, I will be
at the University of Alberta.
Knowledge Discovery in Databases (KDD) is concerned with identifying
interesting patterns in data and describing them in a concise and
meaningful manner. In KDD, machine learning tools are often used for
data mining and are thus present in many KDD systems and applications.
However, most of these tools use a propositional representation of
both the data analysed and the knowledge being discovered, mining in
effect a single relational table in a given database.
Inductive Logic Programming (ILP) can be viewed as machine learning
in a first-order language, where both the data analysed and the patterns
considered can involve several relations in a relational database. Using
ILP tools for data mining offers several advantages, including the
expressiveness of first-order logic as a representation language,
the ability to use structured data as well as various forms of
background knowledge and the ability to use language bias provided
by the user to define the search space of patterns considered.
The special issue on Inductive Logic Programming and Knowledge
Discovery in Databases of the journal Data Mining and Knowledge
Discovery welcomes papers that focus on algorithms and applications
that involve the discovery of knowledge expressed in a relational or
first-order formalism. An indicative, but nonexaustive list of topics
is given below.
* Declarative biases for KDD
* Extending the pattern representation language in
classification and clustering to include relations and first-order-logic
* Practical schemes for encoding prior knowledge
for use in data mining and KDD
* Logic-based inductive query languages
* Combining probabilistic approaches with ILP
* Use of ILP to understand/visualize/explain complex models mined from data
(i.e. as postprocessor on a mining engine)
* Scalability of ILP to large database mining problems
* Pre- and post-processing steps for applying ILP to real-world problems
* Use of ILP in novel data mining settings
* Embedding ILP into the KDD process
* Innovative Knowledge Discovery applications of ILP
* ILP and Text Mining
* Mining the Web with ILP
* Send 5 hardcopies of your manuscript to:
Data Mining and Knowledge Discovery
Journal Editorial Office
Kluwer Academic Publishers
101 Philip Drive, Norwell, Ma. 02061
* Send the abstract, title and full
address of the contact author to: Saso.Dzeroski@ijs.si
* Send a PostScript file to: Saso.Dzeroski@ijs.si
More information available from:
Saso Dzeroski & Nada Lavrac
(editors of DAMI Special Issue on ILP)
Department of Intelligent Systems, Jozef Stefan Institute
Jamova 39, SI-1000 Ljubljana, Slovenia
Tel: +386 61 177 3217 (Saso), +386 61 177 3272 (Nada)
Fax: +386 125 1038
Email: Saso.Dzeroski@ijs.si,
Nada.Lavrac@ijs.si
I've enjoyed your publication of KDNuggets and think you are doing an
outstanding job. I head the Decision Technologies department for CMS,
a KnowledgeBase Marketing company. We have about 50 statisticians,
artificial intelligence and database experts producing about 25
predictive models monthly using most all technologies that we have found
useful. Usually advanced statistics, neurals and/or genetics. I have
a white paper that I would like to share, which is
available on our web site www.cmsnet.com.
Best regards,
Gene M. Ferruzza
SVP Decision Technologies
CMS
919-969-5277
gmf@cmsnet.com
Previous6NextTop
From: mpsingh@eos.ncsu.edu
(Munindar Singh)
Date: Tue, 28 Oct 1997 15:10:45 -0500 (EST)
Subject: Book: Readings in Agents
October 1997; 520 pages; paper; ISBN 1-55860-495-2
The world of agents comprises a broad range of intelligent programs
that perform specific tasks on behalf of their users. Agents are
distinguished from other types of software by their status as
independent entities capable of completing complex assignments without
intervention, rather than as tools that must be manipulated by a user.
Largely the province of speculation before the early 1990s, agent
research has flourished since the advent of the Internet, which has
created an ideal operating environment.
This important collection unifies the extensive recent literature on
agent technology, presenting a wealth of the finest published papers
on both theory and applications. Huhns and Singh have drawn on
research communities in AI, databases, distributed computing, and
programming languages to assemble the most comprehensive overview of
the agent world available. The editors add a summary of the field and
its terminology, history, and major issues, together with
introductions to each of the thematic chapters and discussions of the
significance and context of the individual papers.
Focuses on:
applications of agents
classical techniques for agent construction
theory for modeling and understanding agents
intellectual frontiers in agent science.
Researchers, practitioners, and students will gain the essential
background and perspective needed to understand and appreciate current
and future agent research.
Table of Contents:
Chapter 1 Agents and Multiagent Systems:
Themes, Approaches, and Challenges
Chapter 2 Applications
Chapter 3 Architectures and Infrastructure
Chapter 4 Models of Agency
Previous7NextTop
Date: Mon, 27 Oct 97 22:17:56 PST
From: Stanley Rice (autospec@mail.cruzio.com)
Subject: Context and Conceptual Fuzzy Filtering on the WWW
URL:
This is about easy and relevant access to media collections of
text and/or images--for researchers, publishers, educators,
collectors, SIGs, intranets, etc. (Pro bono--nothing for sale.)
What is required for context and concept filtering? Only:
---------------------------------------------------------------
[A SIG] + [A SMALL THEMATIC VOCABULARY] + [A TARGET COLLECTION]
(SIG = a special interest group, of any size or character)
---------------------------------------------------------------
Suggestions for special-interest access points to discussions:
There are many other access points and links available on the
Autospec site. I get requests for books. I too dislike reading
material on the tube. Unfortunately, the WWW, its search engines,
and its methods, are now changing too fast for descriptions of
Thematics to be caught in books. (1/3 page article in Santa Cruz
Sentinel, Oct 27).
Reactions, including flames, are always appreciated.
Cheers, Stan Rice
--
THEMATICS: Conceptual & Marketing Access to Text and Media
AUTOSPEC, Inc. Santa Cruz, CA. Stan Rice Voice: (408) 457-1430
E-mail: autospec@cruzio.com
WWW:
Previous8NextTop
Date: Thu, 23 Oct 1997 17:36:33 +0100
From: Donal Lyons (dlyons@stats.tcd.ie)
Subject: Fulbright Scholar Program 1999-2000
The Department of Statistics, Trinity College, Dublin, Ireland is in the
process of setting up a Data Mining Interest Group. As part of this
program, we would be interested in talking to any US professors and
researchers wishing to conduct Data Mining research and who would consider
the Fulbright Scholar Program 1999-2000 in Ireland. Closing date is Thurs
6th Nov. so anyone interested would need to contact me very soon.
A brief description of one piece of work in progress follows.
===================================================================
The client wishes to analyse data from the Wayfarer system installed on
Dublin buses. This system gathers information on the usage of each
pre-paid ticket (weekly, 10-journey, monthly etc.). Each individual ticket
has an ID number that can be used to identify where and when it is used.
This allows identification of those customers who use it twice to make what
they would regards as a single journey e.g. a commuter living in Finglas
and working in Tallaght might take a bus into the city center and, almost
immediately, a second bus to Tallaght. This would infer some level of
demand for a direct Finglas-Tallaght route.
There will be additional demand from anonymous customers who make this
journey using two different tickets. For example, if the commuter lived in
Phibsboro, they might well use two different ticket types. It is desired
to plausibly identify anonymous customers using statistical and data
processing techniques.
Customer behaviour may also be inferred from the possibly differing
patterns of incoming traffic in the morning and outgoing traffic in the
evening. It might become possible to infer a level of underpayment of fares.
Although the system only records people entering buses, and does not record
people leaving, it should be possible to model the number on each bus along
the course of its route to infer probable crowding on certain routes.
The dataset can also be enriched with Weather information to analyse its
effects on Bus usage. The received wisdom is that in bad weather people
use cars more. This is testable from the data and can be used in
conjunction with the quite accurate short-term weather forecast to predict
the following mornings demand for buses.
Wayfarer data is available on a daily basis - about 7Mb per day which
amounts to some 2Gb per year.
Donal Lyons,
Lecturer - Information Systems,
School of Systems & Data Studies,
Trinity College,
Dublin 2,
Ireland. Tel: +353 1 608 1919
Msgs: +353 1 608 1767
FAX: on request
Previous9NextTop
From: Andreas Weigend (aweigend@stern.nyu.edu)
Subject: Faculty Jobs at Stern (NYU Business School)
Date: Sat, 1 Nov 1997 11:57:19 -0500 (EST)
This announcement describes several openings for faculty starting Fall
1998 at the Stern School of Business, New York University.
1) Faculty Positions
Applications are solicited for tenure track positions at all levels.
Entry-level candidates must receive the Ph.D. by summer 1998.
Candidates must present evidence of outstanding research and
teaching performance in the application of information technology
to the solution of business problems.
We are especially interested in fields such as data driven
learning and knowledge discovery, the economics of information,
electronic commerce, organization design and change, and human-
computer interaction. Salary is dependent upon qualifications
and is competitive with other leading business schools.
2) Visiting Faculty
Applications are solicited for full-time visiting positions at all
levels for the 1998-99 academic year. Visiting faculty teach at
the MBA or undergraduate level and are active in the research
activities of the department. Candidates must present evidence of
strong teaching and research performance.
Write to
Professor Jon Turner
Chair of the Recruiting Committee
Department of Information Systems
Stern School of Business
New York University
44 West 4th Street, Rm. 9-72
New York, NY 10012-1126
Fax: 212 995 4228
NYU encourages applications from women and members of minority groups.
FIRST INTERNATIONAL CONFERENCE ON
ROUGH SETS AND CURRENT TRENDS IN COMPUTING (RSCTC'98)
June 22-26 1998
Warsaw, Poland
FIRST CALL FOR PAPERS
Rough Set Theory, proposed first by Zdzislaw Pawlak in the early 80's,
has reached a maturity stage. In recent years we have witnessed a
rapid growth of interest in rough set theory and its applications,
worldwide. Various real life applications of rough sets have shown
their usefulness in many domains. It is felt useful to sum up the
present state of rough set theory and its applications, outline new
areas of development and, last but not least, to work out further
relationships with such areas as soft computing, knowledge discovery
and data mining, intelligent information systems, synthesis and
analysis of complex objects and non-conventional models of
computation. Motivated by this, we plan to organize the Conference in
Poland, where rough set theory was initiated and originally developed.
Honorary chairs
Edward Feigenbaum (USA), Zdzislaw Pawlak (Poland), Carl Petri (Germany),
Lotfi Zadeh (USA)
We plan to organize within the Conference sessions devoted to:
* rough set theory and applications
* fuzzy set theory and applications
* knowledge discovery and data mining
* decision support systems
* machine learning
* evolutionary algorithms
* neural networks
* computing with words and granular computing
* molecular computing
* grammar systems
* Petri nets and concurrency
* complexity aspects of soft computing
* pattern recognition and image processing
* statistical inference
* multi - agent systems
* logical aspects of soft computing
* applications of soft computing techniques in medicine, robotics, virtual reality
We invite our colleagues interested in the above topics to submit
original papers devoted to one or more of the above issues. We will
keep traditional setting of sequential/parallel presentations and
poster sessions.
Submission of papers Papers should be processed in standard 10 pt
Latex and be of length not exceeding 8 pages including tables, figures
and references. Papers should be sent in electronic versions (Latex
and postscript) to the address:
rsctc@alfa.mimuw.edu.pl.
Simultaneously, 5 hard copies of the paper
should be sent to the address: Andrzej Skowron, RSCTC, Institute of
Mathematics, Warsaw University, Banacha 2, 02-097 Warsaw, Poland.
Papers sent should reach their destination before the deadline:
February 15, 1998. Each paper will be reviewed by at least three
members of the Program Committee. Authors will be notified about the
acceptance of their papers by March 20, 1998. Accepted papers will be
published by Springer (Physica Verlag) in Conference Proceedings
edited by L. Polkowski and A. Skowron.
Contacts:
Lech Polkowski (Chair, Organizing Committee) polk@mimuw.edu.pl
Andrzej Skowron (Chair, Program Committee) skowron@mimuw.edu.pl
e - mail address: rsctc@alfa.mimuw.edu.pl
homepage:
postal address for correspondence:
Andrzej Skowron, RSCTC
Institute of Mathematics
Warsaw University
Banacha 2 02-097 Warsaw Poland
Phone: +48 (22) 658 34 49
Fax: +48 (22) 658 34 48
+-----------------------------------------------------------------+
| //---------------------// Shusaku Tsumoto, M.D., Ph.D. |
| ! Rough Sets ! Assistant Professor |
| ! and ! Department of Information Medicine, |
| ! Knowledge Discovery ! Medical Research Institute, |
| ! in ! Tokyo Medical and Dental University |
| ! Medical Databases ! 1-5-45 Yushima, Bunkyo-city, |
| //---------------------// Tokyo 113 Japan |
| TEL +81-3-3813-6111 (7024) |
| FAX +81-43-221-2339 |
| Email tsumoto.com@mri.tmd.ac.jp
|
| << Forever Voyaging .... >> |
+-----------------------------------------------------------------+
Previous11NextTop
Date: Wed, 29 Oct 1997 18:00:50 +0100
From: Engelbert Mephu-Nguifo (mephu@cril.univ-artois.fr)
Subject: JFA'98 - 1st Call for papers
Thirteenth French-speaking Conference on Machine Learning
JFA'98 is the annual french-speaking conference on Machine Learning. It
is made of reviewed papers, invited lectures and tutorials. JFA accepts
both symbolic and numeric approaches in machine learning, and research
or application papers in this area.
Papers may be submitted in english but the final version must be written
in french.
The thirteenth JFA conference will be held on May 18-20, 1998 at Artois
University (Arras).
Submissions
Papers relevant to the discipline of Machine Learning are sollicited,
including, but not limited to:
Applications of Machine Learning
Case-based Learning
Computational Learning Theory
Data Mining
Evolutionary Computation
Hybrid Learning Systems
Inductive Learning
Inductive Logic Programming
Knowledge Discovery in Databases
Language Learning
Learning and Problem Solving
Learning by Analogy
Learning in Multi-Agent Systems
Learning in Dynamic Domains
Learning to Search
Multistrategy Learning
Neural Networks
Reinforcement Learning
Robot Learning
Scientific Discovery
Papers are limited to 12 pages (using a 10pt Times Roman font,
single-spaced, with 3cm margins
on all sides) including figures, title page, references, and appendices.
(see Format instructions)
The papers will be refereed according to clarity and overall quality
criteria, focusing primarily on
their relevance to the conference.
Email submissions are strongly preferred. Please send an attached
PostScript file to
jnicolas@irisa.fr
Those unable to produce a PostScript file may send 4
hardcopies of their paper
submission to the program chair:
Jacques Nicolas
IRISA - INRIA
Campus Universitaire de Beaulieu,
35042 Rennes Cedex, France
Tel: (+33) 2 99 84 73 12
E.mail: jnicolas@irisa.fr
Timetable
February 13, 1998 deadline for submission
April 6, 1998 notification of acceptance/rejection
May 4, 1998 deadline for final versions of papers
May 18-20, 1998 JFA'98