From reitz Wed Nov 9 14:53:17 1994 Received: from serane.lirmm.fr (serane.lirmm.fr [193.49.105.20]) by lirmm.lirmm.fr (8.6.9/8.6.4) with ESMTP id OAA20673 for ; Wed, 9 Nov 1994 14:53:16 +0100 Received: (reitz@localhost) by serane.lirmm.fr (8.6.9/8.6.4) id OAA22671 for reitz@lirmm.fr; Wed, 9 Nov 1994 14:51:17 +0100 Date: Wed, 9 Nov 1994 14:51:17 +0100 From: Philippe REITZ Message-Id: <199411091351.OAA22671@serane.lirmm.fr> To: reitz Subject: Statistics Machine Learning And Knowledge Discovery In Databases Forwarding: Mail from 'Rene Quiniou ' dated: Wed, 09 Nov 1994 12:06:55 +0100 Status: RO ---------- Begin Forwarded Message ---------- Message 27: >From bulletin-prc-ia-request@irisa.irisa.fr Wed Nov 9 12:19:11 1994 Received: from irisa.irisa.fr (irisa.irisa.fr [131.254.254.2]) by lirmm.lirmm.fr (8.6.9/8.6.4) with ESMTP id MAA18517; Wed, 9 Nov 1994 12:19:10 +0100 Received: (from listserv@localhost) by irisa.irisa.fr (8.6.9/8.6.9) with TULP id MAA10952; Wed, 9 Nov 1994 12:18:09 +0100 Received: from turbo.irisa.fr (turbo.irisa.fr [131.254.10.2]) by irisa.irisa.fr (8.6.9/8.6.9) with ESMTP id MAA10518 for ; Wed, 9 Nov 1994 12:07:29 +0100 Received: from sunia.irisa.fr (sunia.irisa.fr [131.254.12.21]) by turbo.irisa.fr (8.6.9/8.6.9) with ESMTP id MAA04644 for ; Wed, 9 Nov 1994 12:06:56 +0100 Message-Id: <199411091106.MAA04644@turbo.irisa.fr> To: bulletin-prc-ia@irisa.fr Approved: Rene.Quiniou@irisa.fr Subject: Bulletin-PRC-IA, vol. 3, no 16 Date: Wed, 09 Nov 1994 12:06:55 +0100 From: Rene Quiniou Precedence: list Reply-To: BULLETIN-PRC-IA Distribution List Status: RO Bulletin-PRC-IA en collaboration avec l'AFIA Mercredi 9 novembre, vol. 3, no 16 Date: Fri, 4 Nov 1994 16:16:38 +0100 From: Marjorie Moulet ============================================================================ Call For Papers for MLnet Sponsored Familiarization Workshop: Statistics Machine Learning And Knowledge Discovery In Databases Heraklion, Crete, Greece, April 28-29, 1995 ---------------------------------------------- Introduction The intersection of, and interaction between Machine Learning (ML), statistics and knowledge discovery is a rapidly growing area of interest. There are several areas of common research. On one hand, the considerable amount of data available in databases is an extraordinary source for extracting knowledge and tracing causal dependencies and for this reason, Knowledge Discovery in Databases (KDD) has become an important and new challenge, economically as well as scientifically. On the other hand, the statistical and machine learning algorithms can be considered as robust instruments for KDD. These facts make obvious that the KDD is an interdisciplinary concept benefiting from statistics, machine learning and database technology. The success of the previous workshops on KDD at IJCAI89 and the AAAI (91, 93, 94) Conferences as well as the MLnet Workshop on Machine Learning and Statistics confirm a growing awareness and interest in this area. The main topics of interest: * Statistical and ML approaches for discovery of causal structures in databases * Incremental learning methods to handle the temporal aspects of databases * Statistical and ML approaches for comprehensibility and Validation of discovered knowledge * Software architecture of KDD-Tools * Combining of ML and statistical approaches to build hybrid algorithms for KDD * Focusing aspects to improve the performance of KDD-Tools * Classification and prediction algorithms to handle large-scale data * Successful applications in Medicine, Business and Industry Form of the workshop The main part of the workshop will be devoted to presentations and invited talks. Talks will be grouped according to common interest with plenty of time for discussions. Format and kind of contribution Contributions are invited which present theoretical or practical results as well as review papers in one of the above topics of interest. Submitted papers must not exceed 12 pages, including abstract and bibliography. The title page should include the title of the talk, name(s) and affiliation(s) of the author(s) and a list of keywords as well as the full address (including E-Mail) of the first author. Proceedings will be available at the workshop. The submission of an electronic version (postscript or LaTeX) of a paper is highly recommended. Participation without submitting a full paper is possible but we encourage the all particpants to submit an abstract (up to two pages) to help the organisers to clarify the topics of interests. A sample paper in LaTeX is available via ftp from amsta.leeds.ac.uk in directory pub/ecml95. Contributions to the workshops should be sent to the coordinator (see below the address) by 3rd February'95. Decisions on acceptance will be made by 3rd March (early registration for ECML'95 closes on 17th February). Final camera-ready versions of the revised papers should be sent to the coordinator of the individual workshops by 24th March. Submissions and queries should be sent to the coordinator: Gholamreza Nakhaeizadeh Daimler Benz AG Research and Technology / F3W Postfach 2360 D-89013 Ulm Germany Email: nakhaeizadeh@dbag.ulm.DaimlerBenz.COM Phone: +49 731 505 2860 Fax: +49 731 505 4210 The workshop will be hosted at University of Heraklion, Crete, Greece. It will take place immediately after the European Conference on Machine Learning (ECML95) at April 28-29, 1995. Funding for travelling and living expenses are available according to the rules of the ML-net work of excellence. General enquiries about the workshop should be addressed to Derek Sleeman (Aberdeen) and about local arrangements to Vassilis Moustakis (Crete). Chairs Yves Kodratoff, University of Paris-Sud, France Gholamreza Nakhaeizadeh, Daimler-Benz, Ulm, Germany Charles Taylor, University of Leeds, GB Program Committee Peter Edwards, University of Aberdeen, GB Attilio Giordana, University of Torino, Italy Usama Fayyad, Jet Propulsion Lab, USA Bob Henery, University of Strathclyde, GB Willi Klosgen, GMD, Germany Heikki Mannila, University of Helsinki, Finland Marjorie Moulet, Orsay, France Gregory Piatetsky-Shapiro, GTE, USA Arno Siebes, CWI, Amsterdam, The Netherlands Rudiger Wirth, Daimler-Benz, Ulm, Germany Jan Zytkow, Wichita State University, USA ----------- End Forwarded Message -----------