(text)
ICML 99, CFP: ICML-99: 16th Int. Conference on Machine Learning,
June 27-30, 1999, Bled, Slovenia
--
Knowledge Discovery Nuggets (TM) or KDNuggets for short, is an
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~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Stock market report for yesterday
Helium was up, feathers were down. Paper was stationary.
Fluorescent tubing was dimmed in light trading.
Knives were up sharply.
Cows steered into a bull market.
Pencils lost a few points.
Elevators rose, while escalators continued their slow decline.
(thanks to Alex Chelminsky)
Previous1NextTop
Date: Wed, 25 Nov 1998 14:55:50 -0600
From: Won Kim won.kim@cyberdb.com
Subject: SIGKDD Status Update and Membership Appeal
Since its official chartering in early August 98, the SIGKDD Executive
Committee, with help from the SIGKDD Advisory Board, has completed
its 'business' plan, and created organizations to carry out the plan.
First, SIGKDD has put in place a full team of volunteers to organize
and run the Annual KDD-99 International Conference. The conference
will take place in San Diego, California, on August 15 through 18.
The conference website is research.microsoft.com/datamine/kdd99.
One important piece of information is that SIGKDD members will be
given an $80 discount on KDD-99 conference registration. SIGKDD
annual membership due is only $22. If you plan to attend KDD-99,
we highly recommend that you join SIGKDD now.
Second, SIGKDD has established concrete cooperating relationships
with four other major professional societies. They include ACM
SIGMOD (a database society), ACM SIGART (an AI society),
AAAI (an AI society), and ASA (American Statistics Association)
Statistical Computing Section. In fact, ACM SIGMOD, ACM SIGART, and
AAAI will participate in the organization of KDD-99 as co-sponsors.
ASA SCS will participate as an in-cooperation partner.
Third, SIGKDD has established an Annual Awards Program. The Program
aims to recognize major contributions to the field of knowledge
discovery in data and data mining. It consists of two Awards.
One is the SIGKDD Technical Innovations Award, and another is the
SIGKDD Services Award. The SIGKDD Awards Committee, consisting of
7 senior scientists in the field and related fields, has been formed.
Solicitation for nominations for candidates for the Awards will
be issued in May 99.
Fourth, the SIGKDD International Liaisons Board, consisting of
five senior scientists actively involved in the organizations of
overseas KDD-related conferences, has been formed. This Board is
to advise the SIGKDD Chair and Executive Committee on various
overseas KDD-field matters, and provide linkages between SIGKDD
and overseas KDD-related conferences for mutual benefits.
Fifth, the SIGKDD newsletter will become available from January 99
in electronic form. After the initial issue, theme-driven issues
are being planned. The newsletter will be published twice a year
at first, with the view to expanding it into a quarterly publication
from 2000.
Sixth, SIGKDD has agreed to participate in the SIGMOD-initiated
'CD-ROM Anthology' program which aims to put all past database
conference proceedings in a single set of CD-ROMs. Starting with
KDD-99, the KDD conference proceedings will become a part of
the SIGMOD Anthology.
For additional details about SIGKDD, please visit our website
The SIGKDD organization is now fully in place to carry out its
service mission to members and the field at large. Won't you join
SIGKDD today and become a part of this exciting endeavor to help
turn the promising technology into an integral part of tomorrow's
information technology infrastructure?
Previous2NextTop
Date: Mon, 23 Nov 1998 11:10:28 -0500 (EST)
From: Sanjay Ranka ranka@cise.ufl.edu
Subject: CFP: Spec. Issue of J. of Parallel and Distributed Computing
on High Performance Data Mining
The past decade has seen an explosive growth in database technology
and the amount of data collected. Advances in data collection, use of
bar codes in commercial outlets, and the computerization of business
transactions have flooded us with lots of data. We have an
unprecedented opportunity to analyze this data to extract more
intelligent and useful information, and to discover interesting,
useful, and previously unknown patterns from data. Due to the huge
size of data and amount of computation involved in knowledge discovery
parallel processing is a essential component for any successful large
-scale data mining application. This special issue scheduled for
November 1999 will contain papers with recent results in high
performance computing for knowledge discovery including applications,
algorithms, software, and systems. Papers which address issues in
parallel computing and/or memory hierarchy are of interest.
Authors are invited to submit manuscripts that demonstrate original
research in the above area. Original survey articles may also be
considered. Topics of interest include, but are not limited to the
following:
Classification and Regression
Decision Trees
Association Rules
Dependence Derivation
Clustering
Deviation Detection
Similarity Search
Bayesian Networks
OLAP
OLAM
Authors should follow the Information of Authors which can be found
at the end of every issue of JPDC. Electronic versions of the paper,
in postscript or pdf are encouraged and should be submitted to one of
the Guest editors by February 26, 1999. Alternatively, five copies of
the manuscripts can be sent to arrive by the same deadline. All
submissions should include names of the authors, affiliation, and
complete contact information. Reviews will be sent to authors by June
15, 1999 and final manuscripts will be due by July 30, 1999.
Guest Editors:
Vipin Kumar
Computer Science Department
EE/CSci 4-192
200 Union Street S.E.
Minneapolis, MN 55455
University of Minnesota
Email kumar@cs.umn.edu
Tel (612) 624-8023
Sanjay Ranka
E301 CSE Bldg.
Department of CISE
University of Florida
Gainsville, FL 32611
Tel (352) 392-1526
Email: ranka@cise.ufl.edu
Previous3NextTop
Date: Fri, 27 Nov 1998 18:44:47 -0500
From: Krzysztof Cios, kcios@eng.utoledo.edu
Subject: CFP: IEEE Engineering in Medicine and Biology Magazine, spec issue
on Medical Data Mining and Knowledge Discovery.
There is a possibility of a quick acceptance of 3 more papers!
IEEE Engineering in Medicine and Biology Magazine will publish a special issue
on 'Medical Data Mining and Knowledge Discovery.' The articles should
describe knowledge discovery process in any medical field. Of particular
interest are papers describing results from databases of medical images.
The articles should be written very clearly, using a tutorial-like style, to
appeal to a broad audience that includes both medical professionals and
engineers.
It is planned that about eight articles will be accepted for the special issue
to be published by the end of 1999. If you are interested in submitting a
paper please contact the guest editor ASAP for more details.
Full papers (3 copies) should be submitted to the guest editor by January 15,
1999.
Yours,
Krzysztof J. Cios
Professor and Director of Intelligent Systems Laboratory
Department of Bioengineering
University of Toledo
Toledo, OH 43606-3390, U.S.A.
CrossReader is a powerful Text Mining & Knowledge Management tool.
CrossReader extracts relevant information from texts,
automatically creates and processes a series of new queries, assembles a
new text, which is capable to refocus user's attention on the new
aspects of a given theme. Specific features include: open-ended search,
semantic knowledge retrieval, dynamic data reconfiguration in accordance
with user's interests.
Previous5NextTop
Date: Tue, 1 Dec 1998 19:01:57 -0700
From: J. Cheng jcheng@cs.ualberta.ca
Subject: New version of Belief Network PowerConstructor
Dear Colleagues,
A new version of BN PowerConstructor (2.0b) is now available for free
download at
===================================================
Platforms: 32-bit windows systems on PC (Windows 95 /98 /NT).
Version: 2.0 Beta
Input: A data set with discrete values in all fields (attributes) and
optional domain knowledge (attribute ordering, partial ordering, direct
causes and effects (initial structure), forbidden links, root and leaf
nodes.)
Output: The belief network (including both structure and parameters) of the
data set.
Main Features:
User_friendly interface & Graphical BN editor;
Accessible to many data set formats, support condensed data sets;
Using efficient BN learning algorithms to support large data sets: in
practice, the running time is linear to the number of records and about
O(n^2) to the number of attributes (n is the number of attributes).
The learned belief networks can be saved into Hugin and Netica formats.
The construction engine can be integrated into other win32 based systems
through API function calls.
Previous6NextTop
Date: Fri, 27 Nov 1998 14:56:54 -0000
From: 'Paul Scott' scotp@essex.ac.uk
Subject: RA Vacancy at Univ of Essex, UK
VACANCY FOR A SENIOR RESEARCH OFFICER IN MACHINE LEARNING/DATA MINING.
Applications are invited for the post of Senior Research Officer(RA1) in the
Department of Computer Science, University of Essex for appointment from 1
February 1999, or as soon as possible thereafter.
The person appointed will join an established research team to work on a
two-year EPSRC funded project entitled 'Characterising Data Set Difficulty
for Data Mining'. In recent years there has been a very rapid growth of
interest in the practical application of machine learning and related
techniques to discover useful relationships in large sets of real world
data. Although many such data mining procedures have been developed, at
present there is no sound basis for deciding which method is most
appropriate for a given data set. This project seeks to identify those
characteristics of data sets that are directly related to the success of
data mining procedures in discovering predictive relationships.
Candidates should have a good degree in Computer Science or a closely
related discipline, preferably a masters degree or doctorate. Programming
expertise and knowledge of machine learning or statistics are also required.
Application details may be obtained by telephoning Colchester (01206) 872462
(24 hours), by e-mail to staffing@essex.ac.uk,
or by writing to the
Personnel Section, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ.
Previous7NextTop
Date: Fri, 27 Nov 1998 18:38:53 +0100
From: Luc De Raedt Luc.DeRaedt@cs.kuleuven.ac.be
Subject: 2 year research position at ESPRIT Project for Advanced
Data mining in industry
ESPRIT Project Aladin (Applied Logic for Advanced Data mining IN industry)
The Katholieke Universiteit Leuven, Machine Learning group, lead
by Prof. Luc De Raedt, has a vacancy for a 2 year period
in the above mentioned project. The project is in collaboration
with ISL (UK), BT (UK), Syllogic (Nl) and University of York (UK).
The aim is to incorporate the Leuven and York machine learning engines
into the well-known data mining tool Clementine (from ISL)
and to apply the machine learning engines to real-life problems
at BT and Syllogic.
Candidates should have experience with Prolog and C as this
will be the languages used throughout this project and could
be at the pre- or post-doctoral level.
DATA MINING: PRINCIPLES AND PRACTICE
A broad-brushed, intensive introduction of
methods, applications, tools and techniques
offered by
The Gordian Institute
January 27-29, Orlando, Florida
___________________________________________________
WHAT MAKES THIS COURSE UNIQUE?
This course focuses on actual use and implementation of data mining
methods. The instructor will also show how to evaluate tools and
products. Attendees will receive a binder of course slides and notes,
two texts, and a CD full of sample data, evaluation packages and
references to other resources and tools.
Hands-on workshop exercises will reveal impressive results from the
same tool or method that may have failed in other categories. The
workshops will save immeasurable time and effort in assessing and
selecting which suite of tools and techniques will perform best for
your application.
WHAT YOU WILL LEARN
- The basic principles of data mining
- The different methods of data mining and how they compare
- How to prepare raw data for data mining
- How to analyze and validate the results
- What questions data mining can answer
- What are the pitfalls and how to avoid them
- What commercial products are available and how to evaluate them
REQUEST FULL COURSE DETAILS
You will quickly receive complete details to include pricing, course
outline, instructor background, site logistics and registration form
through any of the following:
- Email: agent@gordianknot.com
Send an Email message with your request in the subject field:
- DATA MINING COURSE DETAILS
- GORDIAN'S QUARTERLY ELECTRONIC NEWSLETTER
- Toll Free: 800-405-2114
- Direct: 281-364-9882
- Fax: 281-754-4014
- http://www.gordianknot.com
Computational Finance http://www.stern.nyu.edu/CF99
CF99 Leonard N. Stern School of Business
January 6 - 8, 1999 New York University
This message contains the program and registration form for CF99.
Please note that the deadline for early registration is December 1.
[now past GPS]
The sixth international conference Computational Finance 99 will be held
at NYU's Leonard N. Stern School of Business. CF99 is sponsored by the
New York University Salomon Center, the Center for Research on Informa-
tion Systems and the Department of Statistics and Operations Research.
Computational Finance has emerged as a genuinely cross-disciplinary
research meeting. CF99 is the sixth in a series of conferences that have
been sponsored by the California Institute of Technology and the London
Business School. In the past, this conference was called Neural Networks
in the Capital Markets (NNCM). The expanding set of computational tools
has moved this meeting from its original emphasis on neural network
techniques to a broad spectrum of different methodologies.
With several hundred attendees, this fully refereed conference has
become an international forum where original research in advanced
computational applications in finance is presented and discussed.
CF99 brings together decision makers and strategists from the
financial industries, with academics from finance, statistics,
economics, information systems and other disciplines.
The site should contain all the information you need to know about the
conference. The rest of this e-mail includes for your convenience the
program and the registration form. For questions, please see the FAQ
part at the website.
Yaser S. Abu-Mostafa (Caltech) Blake LeBaron (Brandeis)
Andreas S. Weigend (NYU/Stern) Andrew W. Lo (MIT/Sloan)
[General and Organizational Chairs] [Program Co-Chairs]
_
For full information please see the website above
[edited ... GPS]
SECOND CALL FOR PAPERS FOR ECSQARU'99
...........................................................
European Conference on Symbolic and Quantitative Approaches
to Reasoning with Uncertainty
...........................................................
5-9 July 1999 at UCL, London, UK
AIMS AND SCOPE: Uncertainty is in an increasingly important research
topic in many areas of computer science. The main European forum for
the subject is the European Conference on Symbolic and Quantitative
Approaches to Reasoning and Uncertainty (ECSQARU). These have been
held in Marsellies (1991), Granada (1993), Fribourg (1995), and Bonn
(1997). The next in the series is ECSQARU'99 in London in July 1999.
AREAS FOR CONTRIBUTION (not exclusive): Default reasoning; Belief
revision; Logics for reasoning with uncertainty; Paraconsistent
logics; Belief functions; Bayesian networks; Probabilistic reasoning;
Fuzzy systems; Aggregation of arguments; Inconsistency handling;
Decision systems; Fusion systems; Argumentation systems; Applications
of uncertainty formalisms; Automated reasoning systems for uncertainty
formalisms; Machine learning for uncertainty formalisms.
PROGRAM COMMITTEE:
Tony Hunter (London) - Program chair
Henri Prade (Toulouse) - Data fusion
Finn Jensen (Aalborg) - Bayesian networks
Torsten Schaub (Potsdam) - Default systems
Philippe Smets (Bruxelles) - Belief functions
Dov Gabbay (London) - Logics
Rudolf Kruse (Magdeburg) - Fuzzy methods
SUBMISSION OF PAPERS: Please see the conference webpage.
IMPORTANT DATES: Submission deadline 31 January 1999; Notification
of acceptance 12 March 1999; CRC for accepted papers 16 April 1999;
Workshops and tutorials 5-6 July 1999; Main conference 7-9 July 1999
The Ninth International Workshop on Inductive Logic Programming
ILP'99
June 24-26, 1999, Bled, Slovenia
CALL FOR PAPERS
Submission deadline: February 22, 1999 http://www.cs.bris.ac.uk/~ilp99/
ILP'99 is the ninth in a series of international workshops on Inductive
Logic Programing. ILP'99 will be collocated with the Sixteenth International
Conference on Machine Learning (ICML'99). The proceedings of ILP'99 will be
published by Springer-Verlag.
Submissions are invited that describe theoretical, empirical and applied
research in all areas of ILP. This includes, for example, results concerning
logical settings for ILP, learning in the context of higher-order logics and
constraint logic programming, as well as ILP systems that use probabilistic
techniques and heuristics. Contributions that describe the use of ILP
approaches in areas such as natural language processing, knowledge discovery
in databases, intelligent agents, information retrieval, etc. are
encouraged. Submissions describing applications of ILP methods to real-world
problems are especially welcome.
For Submission guidelines please see website. [edited. GPS]
Program Committee
F. Bergadano (Italy) H. Bostrom (Sweden) I. Bratko (Slovenia)
W. Cohen (USA) J. Cussens (UK) L. De Raedt (Belgium)
S. Dzeroski (Slovenia) P. Flach (UK) A. Frisch (UK)
K. Furukawa (Japan) R. Khardon (UK) N. Lavrac (Slovenia)
J. Lloyd (UK) S. Matwin (Canada) R. Mooney (USA)
S. Muggleton (UK) S. Nienhuys (Netherlands) D. Page (USA)
B. Pfahringer (Austria) C. Rouveirol (France) C. Sammut (Australia)
M. Sebag (France) A. Srinivasan (UK) P. Tadepalli (USA)
S. Wrobel (Germany)
Program Chairs
Saso Dzeroski Peter Flach
Dept. of Intelligent Systems Dept. of Computer Science
Jozef Stefan Institute University of Bristol
Jamova 39 Merchant Venturers Bldg, Woodland Rd
1000 Ljubljana, Slovenia Bristol BS8 1UB, United Kingdom
Email: Saso.Dzeroski@ijs.si
Email: Peter.Flach@cs.bris.ac.uk
Phone: +386 61 177 3217 Phone: +44 117 9545162
Fax: +386 61 125 1038 Fax: +44 117 9545208
Call for Papers
THE SIXTEENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING
June 27-30, 1999
Bled, Slovenia
Submissions are invited that describe empirical, theoretical, and
cognitive-modeling research in all areas of machine learning.
Submissions that present algorithms for novel learning tasks,
interdisciplinary research involving machine learning, or innovative
applications of machine learning techniques to challenging, real-world
problems are especially encouraged. For application papers, novelty and
lessons for the machine learning community are of particular interest.
Authors must submit four (4) hardcopies and an electronic version
(PostScript) of each submission, as well as a copy of the title page via email.
The mailing address for hardcopies is:
Ivan Bratko & Saso Dzeroski / ICML-99
Institut Jozef Stefan
Jamova 39, SI-1000 Ljubljana, Slovenia
Electronic versions and title pages should be emailed to icml99@ijs.si
Knowledge Discovery Nuggets Index