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Knowledge Discovery Nuggets(tm) 97:31, e-mailed 97-11-04

News:
* GPS, New Section in Yahoo for Data Mining Companies
  • http://www.yahoo.com/Business_and_Economy/Companies/Computers/Software/Databases/Data_Mining/

  • * 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,
  • http://www-ai.ijs.si/SasoDzeroski/dami.cfp

  • * G. Ferruzza, White paper: Decision Technologies In Database Marketing,
  • http://www.cmsnet.com/News/DTARTCL2.html

  • * Munindar Singh, Book: READINGS IN AGENTS,
  • http://www.mkp.com/books_catalog/1-55860-495-2.asp

  • Siftware:
    * Stanley Rice, Context and Conceptual Fuzzy Filtering on the WWW
  • http://www.cruzio.com/~autospec/


  • 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
  • http://alfa.mimuw.edu.pl/~rsctc/

  • * 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.

    To subscribe, see
  • http://www.kdnuggets.com/subscribe.html


  • 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
  • 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 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    What is counted does not always counts and
    what counts is not always counted
    Albert Einstein
    (thank to John Mikulowich)

    Previous  1 Next   Top
    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
  • http://www.yahoo.com/Business_and_Economy/Companies/Computers/Software/Databases/Data_Mining/



  • Previous  2 Next   Top
    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]


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    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.

    Phone: (403) 492-5461
    FAX: (403) 492-1017
    Email: greiner@cs.ualberta.ca

    Address: Dept of Computing Science
    615 General Service Bldg
    University of Alberta
    Edmonton, Alberta T6G 2H1

    Cheers,
    Russ Greiner



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    Date: Mon, 27 Oct 1997 17:58:12 +0100
    From: Saso Dzeroski (Saso.Dzeroski@ijs.si)
    Subject: CFP DAMI Special Issue on ILP
    URL:
  • http://www-ai.ijs.si/SasoDzeroski/dami.cfp


  • Data Mining and Knowledge Discovery

    Special issue on

    Inductive Logic Programming and Knowledge Discovery in Databases

    guest editors: Saso Dzeroski and Nada Lavrac
    Jozef Stefan Institute, Ljubljana, Slovenia

    ----------------------------------------------------------------------------

    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

    ----------------------------------------------------------------------------

    Submission deadline: 15 February 1998

    To submit a paper:

    * 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

    URL:
  • http://www-ai.ijs.si/SasoDzeroski/dami.cfp

  • See also:
  • http://www.research.microsoft.com/research/datamine/



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    From: 'Ferruzza, Gene M.' (gene.ferruzza@cmsnet.com)
    Subject: Data mining white paper
    Date: Tue, 28 Oct 1997 10:54:15 -0500
    URL:
  • http://www.cmsnet.com/News/DTARTCL2.html


  • Gregory,

    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


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    From: mpsingh@eos.ncsu.edu (Munindar Singh)
    Date: Tue, 28 Oct 1997 15:10:45 -0500 (EST)
    Subject: Book: Readings in Agents

    Book Announcement

    READINGS IN AGENTS

    Edited by
    Michael N. Huhns
    Munindar P. Singh

    Foreword by
    Les Gasser

  • http://www.mkp.com/books_catalog/1-55860-495-2.asp


  • 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


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    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:
  • http://www.cruzio.com/~autospec/


  • CONTEXT and CONCEPT MEDIA FILTERING

    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:

    --For an introduction to Thematic filtering:
  • http://www.cruzio.com/~autospec/

  • --An introduction to materials available:
  • http://www.cruzio.com/~autospec/accessit.htm

  • --A practical approach to visual files:
  • http://www.cruzio.com/~autospec/access0.htm

  • --A practical approach to romance, and marketing:
  • http://www.cruzio.com/~autospec/xmatches.htm

  • --An image, of image filtering, and some words:
  • http://www.cruzio.com/~autospec/epicture.htm

  • --For some publishing aspects:
  • http://www.cruzio.com/~autospec/ebook.htm

  • --For examples of pocket thesauri (SIG pidgins):
  • http://www.cruzio.com/~autospec/quikstar.htm

  • --For some symptom<-->remedy correlation methods:
  • http://www.cruzio.com/~autospec/accessf.htm


  • 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:
  • http://www.cruzio.com/~autospec/




  • Previous  8 Next   Top
    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



    Previous  9 Next   Top
    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.



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    Date: Fri, 24 Oct 1997 20:56:15 +0900 (JST)
    From: tsumoto@mxg.meshnet.or.jp (Shusaku Tsumoto )
    Subject: CFP: RSCTC'98
    URL:
  • http://alfa.mimuw.edu.pl/~rsctc/


  • 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.

    Full information:
  • http://alfa.mimuw.edu.pl/~rsctc/


  • 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:
  • http://alfa.mimuw.edu.pl/~rsctc/


  • 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 .... >> |
    +-----------------------------------------------------------------+


    Previous  11 Next   Top
    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

    Arras, May 18-20, 1998

    Submission deadline: February 13, 1998



    WWW temporary location:
  • http://www.lifl.fr/~mephu-ng/conf/jfa98_uk.html

  • WWW permanent location:
  • http://www.univ-artois.fr/jfa98



  • General Information

    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

    For full information see web pages above



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