KDD Nugget 95:7, e-mailed 95-03-25 Contents: * D. Aha, A list of ML folks' home pages * A. Levy, PODS-95 program and paper abstracts on-line * Y. Kodratoff, MLnet workshop on Industrial Applications of ML * W. Van de Velde, European Knowledge Acquisition Workshop (EKAW'94) Questions: * T. Clark, Programs to match similar records * R. Dybowski, GA visualisation Job ads: * R. Agrawal, Positions in the IBM Almaden CFPs: Calls for Papers and Participation: * Z. Obradovic, New journal: Multiple-Valued-Logic and Soft Computing * R. Zicari, Object Application Awards Program Invites Entries * P. Ozturk, ICCBR-95, final CfP The KDD Nuggets is a moderated mailing list for news and information relevant to Knowledge Discovery in Databases (KDD), also known as Data Mining, Knowledge Extraction, etc. Relevant items include tool announcements and reviews, summaries of publications, information requests, interesting ideas, clever opinions, etc. Please include a descriptive subject line in your submission. Nuggets frequency is approximately bi-weekly. Back issues of Nuggets, a catalog of S*i*ftware (data mining tools), references, FAQ, and other KDD-related information are available at Knowledge Discovery Mine, URL http://info.gte.com/~kdd/ or by anonymous ftp to ftp.gte.com, cd /pub/kdd, get README E-mail add/delete requests to kdd-request@gte.com E-mail contributions to kdd@gte.com -- Gregory Piatetsky-Shapiro (moderator) ********************* Official disclaimer *********************************** * All opinions expressed herein are those of the writers (or the moderator) * * and not necessarily of their respective employers (or GTE Laboratories) * ***************************************************************************** ~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ "The shortest way to do many things is to do one thing at once." <>>>Samuel Smiles ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From: aha@aic.nrl.navy.mil (via ML-LIST) Subject: A list of ML folks' home pages Date: Tue, 7 Mar 1995 12:43:58 -0500 (EST) As a hobby, I've collected links to (over 250) home pages for ML (& CBR) researchers/practitioners (http://www.aic.nrl.navy.mil/~aha/people.html). Perhaps they can be of some small use. Edits/suggestions welcome. David ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From: levy@research.att.com (Alon Levy) To: Multiple recipients of list Subject: PODS-95 Abstracts online X-To: dbworld@lucy.cs.wisc.edu The PODS-95 program and paper abstracts are available online @ http://www.research.att.com/orgs/ssr/people/levy/pods/pods.html Alon Levy ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Contents: MLnetNEWS 3.2 March 1995 Report on the MLnet Workshop on Industrial Applications of Machine Learning (ILWS'94) by Yves Kodratoff (LRI, Paris) The MLnet Workshop on Industrial Applications of Machine Learning was held in Dourdan (France) on September 2nd and 3rd, 1994. The workshop attracted 40 participants from all over the world: six from France and the UK, five from Germany and Italy, three from Holland, two from Belgium, Croatia, and the USA, and one participant from Bulgaria, the Czech Republic, Greece, Poland, Portugal, Singapore, Slovenia, Sweden , and Switzerland. Proceedings of the event have been produced and a few of them are still available on request from lola@lri.fr. The first day was devoted to a reviewing the applications of ML in Industry. The first talk, presented by Ivan Bratko (JSI, Ljubljana, Slovenia): "Applications of machine learning: what, why and how?" provided a historical account of the difficulties, and the early successes of ML. He described some of the applications of attribute-value learning systems, and showed how ILP can induce relational knowledge. Gregory Piatetsky-Shapiro (GTE, USA), speaking on "Knowledge discovery in databases: from research to development" presented this new field of KDD, its successes, and its difficulties. He described his system KEFIR, which is able to detect deviations from norm in a DB. The proceedings contain his transparencies, a selection of important KDD papers, a report on the workshop KDD 93, and description of an application of KEFIR to health-care. Our last general talk has been about industrial applications of knowledge acquisition (KA) presented by Wilfried Achthoven (Bolesian Systems, NL) "The state of the art in knowledge acquisition: industrial practice with KADS, machine learning and case-based reasoning". The afternoon was devoted to the description of three topic of interest in the context of industrial applications: "Applications of machine learning to robotics", by Attilio Giordana (University of Torino, Italy) "Unifying knowledge acquisition and machine learning for applications" by Franz Schmalhofer (DFKI, Kaiserslautern, Germany) "An overview of applications of machine learning to medicine", by Vassilis Moustakis (University of Crete, Greece) The second day started with a special address on the British KDD product, Clementine, by Tom Khabaza (ISL, UK) "Data Mining with Clementine". We had then a session in which the industrial results of three ESPRIT projects related to ML have been presented: "Industrial applications of MLT", by Vassilis Moustakis (University of Crete, Greece). "Industrial applications of STATLOG", by Pavel Brazdil (University of Porto, Portugal) "The results of BLEARN", by Attilio Giordana (University of Torino, Italy); the robot in this lab is learning its way. During the last session, specific results of interest were presented: "Applications of case-based reasoning", by Gend Kamp (University of Hamburg, "Application of GAs at Syllogics", by Pieter Adriaans (Syllogics, NL) with a very professional video of CAPTAIN, their GA-Based system that learned to predict KLMUs pilots employment wishes. "Learning rules about VLSI-design", by Jurgen Herrmann (University of Dortmund, Germany) We ended this session by learning what is happening in ML at three important industrial sites by listening to Fabio Malabocchia (CSELT, Italy), Reza Nakhaeizadeh (Daimler-Benz, Germany), and Dinh Phuoc Vo (Matra Espace, France). ************************************** ************************************** ************************************** Report on the 8th European Knowledge Acquisition Workshop (EKAW'94) by Walter Van de Velde (VUB, Brussels) The European Knowledge Acquisition Workshop (EKAW) is the prime forum for tracking the advances in the area of knowledge acquisition in Europe. It is complementary to the Japanese Knowledge Acquisition Workshop (JKAW) and the yearly Banff Knowledge Acquisition Workshop (KAW). The eight edition of EKAW was held in Hoegaarden near Brussels and confirmed the important trends of recent years. It also confirmed the depth and progress obtained in the area of methodology, formalisation of knowledge acquisition models, and practical application. In spite of such impressive results, it is often heard that up to now the knowledge-based direction has failed to deliver on its promises. According to some it is even doubtful whether it ever had the potential of doing so. In view of this apparent impasse, EKAW'94 had set itself two main objectives. The first objective was to demonstrate that work in the mainstream of knowledge acquisition is leading to useful results. There are presently several systems available and in use that demonstrate the potential of knowledge technology. The state of the art in knowledge systems is far beyond the rule- based model. The old knowledge extraction view has been replaced with a prominent modelling view. Knowledge level modelling, method configuration approaches, automated knowledge acquisition, knowledge standards, exchange, and reuse are now becoming reality. All of these help to overcome the complexity problems associated with building intelligent systems that up to now hampered widespread deployment of the technology. The various papers and posters at EKAW'94 illustrated some of the finest recent results in this direction1. For example, some work reported on formalisation, comparison, and extensions to cooperative and multi-agent task settings. Schreiber, Wielinga, Akkermans, Van de Velde, and Anjewierden ("CML: The CommonKADS Conceptual Modelling Language") summarize the major features of CML, which is a language at the core of the latest KADS developments. Ruiz, van Harmelen, Aben, and van de Plassche ("Evaluating a Formal Modelling Language") give criteria for evaluating formal languages for knowledge level modelling and they apply these criteria to the language ML2. The paper of Fensel and Poeck ("A Comparison of Two Approaches to Model-based Knowledge Acquisition") gives a thorough comparison of two different approaches to model-based knowledge acquisition: the MIKE approach, influenced strongly by KADS, and the CRLM approach based on role-limiting methods. Dieng ("Agent-Based Knowledge Acquisition") proposes a modelling framework that emphasizes the description of multiple agents, their roles, cooperation, and reasoning capabilities. This complements single agent modelling techniques with the aim of building cooperative and distributed knowledge systems. On the other hand knowledge modelling frameworks are not unchallenged, as witnessed by two other papers. Schmalhofer, Aitken, and Bourne ("Beyond the Knowledge Level: Descriptions of Rational Behaviour for Sharing and Reuse") put forward arguments against present trends in knowledge level modelling as a predictive framework. Instead they argue for behaviour descriptions of systems in a given context rather than performance prediction from knowledge and goals. Compton, Preston, Kang, and Yip ("Local Patching Produces Compact Knowledge Bases") describe a series of experiments with real and artificial experts on the effectiveness of incremental local changes to a collection of ripple-down rules. To the extent that this works, it implies that knowledge-level models and functional architectures are not necessary. Knowledge acquisition frameworks also serve as frameworks for reuse. When they are used by a substantial group of people, research can focus on an identification of generic components. Such efforts are now taking place: looking to identify generic task structures, problem solving methods, and also ontologies which can be reused across applications. For a long time now problem solving methods have been regarded as key reusable elements. Breuker ("Components of Problem Solving and Types of Problems") gives a typology of tasks with the goal of identifying suitable problem solving methods. This work fits within the KADS framework and is one of the cornerstones of the KADS expertise modelling library. A thorough analysis of diagnostic problem solving resulting in the identification of generic problem solving methods is reported by Benjamins ("On a Role of Problem Solving Methods in Knowledge Acquisition Experiments with Diagnostic Strategies"), while Caamero ("Modelling Plan Recognition for Decision Support") provides a detailed investigation of another class of problem solving methods, geared towards decision support. Recently, ontologies are receiving attention as a means to facilitate reuse of complex components. The contribution of van Heijst and Schreiber ("CUE: Ontology Based Knowledge Acquisition") shows how a better formalisation and structuring of ontologies can play a major role in streamlining further knowledge acquisition in the domain of medical systems. Pirlein and Studer ("KARO: An Integrated Environment for Reusing Ontologies") also propose an extension of a methodological framework and its supporting environment in order to better support the identification of ontologies and their use in a knowledge acquisition project. At yet another level one is starting to investigate reuse of the knowledge acquisition process. Geldof and Slodzian ("From Verification to Modelling Guidelines") describe a set of reusable components for meta-projects, i.e., projects about knowledge engineering projects. They illustrate, using verification as a case-study, how a reflective implementation of a knowledge acquisition tool is used to capture and reuse knowledge engineering know-how. But there are still gaps in current methodology, particularly in the areas of user modelling, verification, and validation. Several papers address these gaps. Andrienko and Andrienko ("AFORIZM Approach: Creating Situations to Facilitate Expertise Transfer") propose and demonstrate knowledge elicitation techniques based on the presentation of situations to induce the recollection and verbalisation of expertise. These situations are generated by the use of spatial metaphors and graphic images. Improvements of the MACAO methodology are described by Aussenac ("How to Combine Data Abstraction and Model Refinement: a Methodological Contribution in MACAO"). Concrete experiments on combining MACAO with elements of KADS lead to methodological guidelines on how to combine the detailed analysis of expert knowledge with the selection and adaptation of generic models. Brazier and Treur ("User Centered Knowledge Based System Design: a Formal Modelling Approach") focus on an area in knowledge level modelling that has, up till now, received less attention, namely the modelling of how the user perceives a system and therefore can interact with it. Tourtier and Boyera ("Validating at Early Stages with a Causal Simulation Tool") present an approach and a tool to capture and validate knowledge about the dynamics of a system. Their approach has the advantage of being applicable before the conceptual model has been operationalised. Yost, Klinker, Linster, Marques, and McDermott ("The SBF Framework, 1989-1994: From Applications to Workplaces") show that knowledge acquisition must be part of the larger context of analysing business processes. Knowledge acquisition frameworks and methodologies can be used for a variety of purposes, some of which are less obvious than others. Major, Cupit, and Shadbolt ("Applying the REKAP Methodology to Situation Assessment") describe the application of their methodology to a problem of situation assessment, covering knowledge acquisition, design, and implementation aspects of system development. Arcos and Plaza ("Integration of Learning into a Knowledge Modelling Framework) describe NOOS, a reflective architecture allowing for the description and implementation of inference as well as learning components and, most importantly, their integration and combination. Along similar lines, although with greater focus on resolving issues in machine learning, Rouveirol and Albert ("Knowledge Level Model of a Configurable Learning System") describe the use of knowledge level models to configure learning algorithms and systems. Their approach makes explicit the alternatives in algorithms and biases. Automated (re-)configuration of applications is also the topic of Stroulia and Goel ("Reflective, Self-Adaptive Problem Solvers"). They describe a reflective system capable of identifying gaps in its knowledge and redesigning its own task structure. After each paper presentation commentators provided interesting perspectives on the work. The idea of commentators was highly appreciated and it worked very well, in particular because they had been carefully chosen for each individual paper. Several posters were presented during the breaks. With every coffee break a group of three selected posters was focussed on. This scheme was fine, although we felt it could be improved by allowing a 1 minute presentation of the poster before the break. Finally, there was a lot of equipment on site which allowed for many demonstrations, often extending beyond the allotted time. As for its second objective, EKAW'94 wanted to put the knowledge acquisition enterprise in a broader context. This new context derives from the new perspectives on knowledge that are being developed within Knowledge Acquisition and in other areas of Artificial Intelligence or other sciences. For example from linguistics, philosophy of science, learning science, psychology, and sociology one learns how knowledge can be viewed as a social phenomenon, ever evolving and situation specific. This is often seen as an argument against the feasibility of knowledge-based approaches. However, at the same time technological developments in hypermedia and networking are providing us with new tools to explore exactly these issues. These developments offer new opportunities for different and unexplored uses of knowledge technology that are beginning to shape a new future for knowledge engineering. New uses: in the last few years knowledge acquisition has focussed on consolidation of research results, in part by developing more applications. However, developments in business management and sociology indicate new opportunities for the techniques that we now master. In particular business process re-engineering, knowledge management, and social learning are hot topics and crucial features of successful organisations in the future. This is the case for European organisations in particular, since the larger European market requires ever greater flexibility and adaptability. The knowledge engineering community contributes to this with its particular view on the business process, namely the knowledge perspective. For this community, 'knowledge as a crucial asset for success' is more than a clich but is backed up by solid techniques and methodologies. New technologies: knowledge engineering has focussed on building intelligent problem solvers or decision support systems, mostly single user and running on a single computer. New technological developments in hyper- and multi-media, and in networking, are creating new ways to put ideas into practice. These developments are a perfect complement to the new uses that were mentioned above. For example the developments in networking allow for realising the infrastructure that is necessary for effective knowledge management in small and medium sized organisations. Similar technology on a larger scale (i.e., the information highways that are being planned for Europe and the US) will allow for easier exchange and reuse of knowledge descriptions. EKAW'94 featured special contributions to foster debate on the above mentioned topics. Dr. J. Stewart (Institut Pasteur) reported on the consequences of approaching the problems of mind and knowledge from a constructivist perspective. Ken Ford (University of West Florida), on the other hand, argued that positions like these easily go too far in rejecting useful ideas on mental representations. Dr. Attardi (University of Pisa) described evolutions in computing technology and how they are changing the way in which we work, as well as the tools we may find useful. The special contributions had been chosen to bring in new ideas. This turned out to be highly productive and thought-provoking. Fully in line with EKAW's objectives, extensive use was made of the World-Wide Web (WWW). An EKAW WWW server2 was set up both as an experiment and as a way to support the practical organisation of the workshop. For example, an interactive review form reduced the time and effort to produce and process reviews. The server offers most papers on line, integrated communication between authors, EKAW organisation, and contributors to the discussions, public commentary and annotations, local organisation and registration information. At any time one could find the most recent organisational information (detailed program, deadlines for registration, accommodation). Participants could also use it for confirming registration or accommodation reservation. The use of WWW was an experiment in itself. In the future, easier access to knowledge technology will enhance the effectiveness of businesses, and in particular the smaller ones. The new uses and new technologies will create a market on which specialised services can develop (remote knowledge systems, active documents, intelligent software agents, goal-oriented data use, sharing and reuse of knowledge, ...). For all of these the experience and know-how of knowledge engineering is central. In summary both organisers and attendees felt that this EKAW was very successful and, in many respects, innovative. Finally it was decided to hold EKAW'95 in Nottingham, organized by Nigel Shadbolt. Walter Van de Velde Artificial Intelligence Laboratory Vrije Universiteit Brussel Pleinlaan 2, B-1050 Brussels Tel: +32 2 629 37 00 Fax: +32 2 629 37 29 Email: walter@arti.vub.ac.be WWW: http://arti.vub.ac.be/~walter/welcome.html _____________________ 1 The proceedings have been published by Springer-Verlag as "A Future for Knowledge Acquisition" (Eds. Luc Steels, Guus Schreiber and Walter Van de Velde). A limited number of proceedings is still available from the VUB AI-Lab for the reduced prize of 1100 Bfr instead of 1600 Bfr. The posters and position papers can be obtained as a VUB AI-Lab Technical Report 94-2 for 200 Bfr. To order any of these please contact Brigitte Hoenig at brigitte@arti.vub.ac.be 2 The server can be reached at http://arti.vub.ac.be/www/ekaw/welcome.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~ Questions ~~~~~~~~~~~~~~~~~~~~ Return-Path: Date: Sat, 18 Mar 1995 07:13:00 +0800 X-Sender: timclark@whidbey.whidbey.com (Unverified) Mime-Version: 1.0 To: kdd@gte.com From: timclark@whidbey.whidbey.com (Timothy K. Clark) Subject: Analyzing Foster Childrens' Foster Home Payments Database Content-Type: text/plain; charset="us-ascii" Content-Length: 1984 Dear Mr. Piatetsky-Shapiro, I have just attended a lecture on Data Mining at the University of Washington Computer Fair, where I learned of KDD. This question may (probably) not be appropriate to your server list, but perhaps you can advise me on resources. KDD more nearly addresses my problem than any other resource I have discovered. I have attempted for serveral years to analyze the payment database for Social Services by the State of Washington. We have approximately 6,000,000 records. The primary problem is idenfying all of the payments made on behave of a single child. We have 4 identifiers in each record: Name, birthdate, Social Security Number and a Case Number. None of these can be counted on to have been entered accurately or consistently. Are you aware of programs, algorithms, or procedures that can determine if records match sufficiently on two or more of these multiple identifiers to group them together. I can make these determinations by eyeballing the data and there aught to be relatively simple expert systems that could do the same. This seems a common problem that aught to have been solved by law enforcement agencies, insurance agencies, hospitals, the IRS .... I have only crudely succeeded in selecting the records for a single child with simple database techniques. The potential here is to be able to determine how many children have been (are) in foster care. How long they have been in foster care. How many different foster homes children move through. Whether children of different ethnicities are more likely to be in foster care. And many other questions that are crucial to program, policy and legislation on behalf of abused and neglected children. Thank you for your consideration, Timothy Clark Office of Childrens Administrative Research Department of Social and Health Services State of Washington timclark@.whidbey.whidbey.com voice: 360-431-1653 (GPS: Are there some clustering programs that could work ? ) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Date: Tue, 21 Mar 1995 15:34:35 +0000 (GMT) From: Richard Dybowski To: kdd@gte.com Subject: GA visualisation Mime-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII Content-Length: 324 Can anyone direct me to references concerned with the following: (a) Markov and non-Markov models for GAs and how these can be used to visualise the progression of a GA; (b) other ways of visualising the search trajectories and population compositions related to the progression of a GA? Many thanks, Richard Dybowski ~~~~~~~~~~~~~ Job Ads ~~~~~~~~~~~~~~~~~~~ Return-Path: Date: Thu, 16 Mar 1995 09:10:42 -0800 Reply-To: ragrawal@almaden.ibm.com Sender: owner-dbworld@cs.wisc.edu Precedence: list From: (Rakesh Agrawal) To: Multiple recipients of list Subject: Positions in the IBM Almaden Exploratory Database Systems Department X-To: dbworld@lucy.cs.wisc.edu X-Cc: ragrawal@almaden.ibm.com X-Listprocessor-Version: 7.1 -- ListProcessor by CREN Content-Type: text Content-Length: 2455 INVENT THE FUTURE of Database Systems at the IBM Almaden Research Center IBM Almaden Research Center is located in San Jose, CA, in beautifully situated rolling hills adjacent to Santa Teresa Park. Almaden Research Center, in Silicon Valley, is close to top universities such as Stanford and UC Berkeley, as well as key IBM development and manufacturing units which develop database, disk drive, storage system, and multimedia products. The laboratory fosters technical creativity and real-world connections - an environment which has resulted in such notable inventions as the magnetic disk drive and relational databases. Our work involves generating new theoretical and systems ideas, building exploratory systems, and working with universities, product divisions, and selected customers. Our researchers work in teams of various sizes, and are expected to both publish and to reduce their ideas to practice. The research atmosphere includes visiting faculty, post docs, students, coops, and an active sabbatical program. The Exploratory Database Systems Department of the Almaden Computer Science Department is looking for a few outstanding researchers with demonstrated expertise in database systems. We are particularly looking for systems-oriented candidates interested in: - Data Mining - Workflow and Advanced Transaction Models - OODB/DBPL - Multimedia Databases Qualified individuals should have a Ph.D degree in CS or EE, or equivalent, demonstrated initiative and research experience in the above areas, a strong publication record, and a desire to work with others on real problems. For further information, please send your resume, including list of publications, and references, to Debbie Sandman K55 Recruiting IBM Almaden Research Center 650 Harry Road, San Jose, CA 95120 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~ CFPs: Calls for Papers and Participation ~~~~~ From: Zoran Obradovic - Faculty Subject: CFP: MVL&SC journal To: kdd@gte.com Date: Fri, 17 Mar 1995 07:20:18 -0800 (PST) X-Mailer: ELM [version 2.4 PL23] Mime-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Type: text/plain; charset=US-ASCII Content-Length: 5638 Dear Gregory: Please announce this new journal to KDD list. Thanks. Zoran Obradovic CALL FOR PAPERS MULTIPLE-VALUED-LOGIC AND SOFT COMPUTING An International Journal The aim of Multiple-Valued Logic and Soft Computing -- An International Journal is to publish and diseminate internationally knowledge in the area of multiple-valued logic and its applications and cost-effectiveness in soft computing. Specific topics include: MATHEMATICAL ASPECTS OF MVL: algebra, logic, spectral methods ENGINEERING ASPECTS OF MVL: circuit design, programmable logic, hardware and software verification, testing, analog and digital VLSI and ULSI, new concept devices and architectures: biocomputing and optical computing MVL AND REASONING: machine learning, theorem proving, expert systems MVL AND COMPUTATIONAL INTELLIGENCE: neural networks, evolutionary computatation, fuzzy systems COMPUTER SCIENCE AND MVL: databases, massively parallel systems THEORETICAL AND PRACTICAL ASPECTS OF FUZZY LOGIC PHILOSOPHICAL ASPECTS OF FUZZY LOGIC Papers should contain original results that have neither been submitted to, nor appeared in any journal. The journal will also publish survey papers. CONTRIBUTIONS CAN BE SUBMITTED TO THE MANAGING EDITORS OR TO ANY MEMBER OF THE EDITORIAL BOARD. MANAGING EDITORS: Dan A. Simovici University of Massachusetts at Boston, Department of Mathematics and Computer Science, Boston, MA 02125, USA, tel.: (617) 287-6472, e-mail: dsim@cs.umb.edu Ivan Stojmenovic University of Ottawa, Department of Computer Science, Ottawa, K1N 9B4, CANADA, tel.: (613) 564-5982, e-mail: ivan@csi.uottawa.ca EDITORS OF MVL&SC-IJ Joel Berman Department of Mathematics University of Illinois at Chicago Chicago, Illinois 60680-4348 USA u10391@uic.edu Randal E. Bryant School of Computer Science Carnegie Mellon University Pittsburg, PA 15213 USA Randy.Bryant@cs.cmu.edu Jon T. Butler Department of Electrical and Computer Engineering Naval Postgraduate School Code EC/Bu Monterey, CA 93943-5121 USA butler@cs.nps.navy.mil K. Wayne Current Electrical and Computer Engineering Department University of California Davis, CA 95616 USA current@ece.ucdavis.edu Janos Demetrovics Computer & Automation Institute Hungarian Academy of Science H-1111 Budapest Lgymnyosi u. 11 Hungary h935dem@ella.hu Gerhard Dueck Department of Mathematics and Computer Science St. Francis Xavier University Antigonish, N.S. B2G 2W5 Canada dueck@phoenix.stfx.ca George Epstein Computer Science Department University of North Carolina Charlotte, NC 28223 USA Daniel Etiemble LRI-UA 410 CNRS Bat 490, Universit Paris Sud 91405 Orsay Cedex France de@lri.lri.fr Yutaka Hata Faculty of Engineering Himeji Institute of Technology 2167, Shosha Himeji, 671-22 Japan hata@comp.eng.himeji-tech.ac.jp Tatsuo Higuchi Department of System Information Sciences Graduate School of Information Sciences Tohoku University, Aoba Aramaki, Aoba-ku, Sendai 980 Japan thiguchi@higuchi.ecei.tohoku.ac.jp Mou Hu Computer Engineering Shanghai Institute of Railway Technology Shanghai 200333 China Stanley L. Hurst Faculty of Technology, Electronics Discipline Walton Hall Milton Keynes, MK7.6AA England Michitaka Kameyama Department of Computer and Mathematical Sciences Graduate School of Information Sciences Tohoku University, Aoba Aramaki, Aoba-ku, Sendai 980 Japan michi@kameyama.ecei.tohoku.ac.jp Robert A. Melter Department of Mathematics Long Island University Southampton, NY 11968 USA melter@seaweed.liunet.edu D. Michael Miller Department of Computer Science University of Victoria P.O.Box 3055 Victoria BC V8W 3P6 Canada dmill@csr.uvic.ca Claudio Moraga Department of Computer Science University of Dortmund 44221 Dortmund Germany moraga@jupiter.informatik.uni-dortmund.de Masao Mukaidono Department of Computer Science Meiji University 1-1-1 Higashimita, Tama-ku Kawasaki-shi, 214 Japan masao@cs.meiji.ac.jp Jon C. Muzio Department of Computer Science University of Victoria P.O.Box 3055 Victoria BC V8W 3P6 Canada jmuzio@csr.uvic.ca Zoran Obradovic School of Electrical Engineering and Computer Science Washington State University Pullman, WA 99164-2752, USA zoran@eecs.wsu.edu Marek A. Perkowski Department of Electrical Engineering Portland State University Portland, OR 97207-0751 USA mperkows@ee.pdx.edu Corina Reischer Department of Mathematics and Computer Science University of Qubec at Trois-Rivires Trois-Rivires, Qubec G9A 5H7 Canada corina-reischer@uqtr.uquebec.ca Ivo G. Rosenberg Math. Stat. 207 Universit de Montral C.P. 6128, succursale A Montral, Qubec H3C 3J7 Canada rosenb@ere.umontreal.ca Elie Sanchez University of Marseille and NEURINFO, IMT Technople de Ch teau-Gombert 13451 Marseille cedex 20 France sanchez@imt950.imt-mrs.fr Tsutomu Sasao Kyushu Institute of Technology Iizuka 820 Japan sasao@cse.kyutech.ac.jp Charles B. Silio Electrical Engineering Department University of Maryland College Park MD 20742 USA silio@eng.umd.edu Kenneth C. Smith Department of Electrical and Computer Engineering University of Toronto Toronto, Ontario M5S 1A4 Canada lfujino@csri.toronto.edu Helmut Thiele Department of Computer Science 1 University of Dortmund D-44221 Dortmund Germany thiele@ls1.informatik.uni-dortmund.de Ratko Tosic Institute of Mathematics University of Novi Sad Trg Dositeja Obradovica 4 21000 Novi Sad Yugoslavia ratosic%unsim@yubgef51.bitnet Lotfi A. Zadeh Computer Science Division and the Electronics Research Laboratory University of California Berkeley, CA 94720 USA zadeh@cs.berkeley.edu ~~~~~~~~~~~~~~~~~~~~~~~~~ From: zicari@informatik.uni-frankfurt.de Subject: OBJECT APPLICATION AWARDS PROGRAM INVITES ENTRIES To: kdd%eureka@gte.com (KDD Nuggets Moderator) Date: Fri, 17 Mar 1995 18:29:48 +0100 (MEZ) Contact: Brigitte Koepke Object Management Group +49-6173-2852 FOR IMMEDIATE RELEASE OBJECT APPLICATION AWARDS PROGRAM INVITES ENTRIES Awards designed to showcase the best of custom applications using object-oriented approaches Kronberg, TS. -- January 28, 1995 -- Object Management Group, co-sponsor of Object World Frankfurt, is seeking submissions for The Second Annual Object Application Awards. Winners will be announced at Object World Frankfurt - The Software Event for Central Europe- on October 10, 1995. Chris Stone President and CEO of the Object Management Group will be the master of ceremonies. The awards will showcase innovative custom applications using object technology. Applications must be currently in use, not for resale, and must meet one of the following qualifications: * An application built from scratch * A modification of an off-the-shelf application * An object-oriented front end for a host application All entries must be postmarked by midnight, August 10, 1995. A panel of judges chiared by Prof. Roberto Zicari, OMG Central Europe, will select three finalists from each of the following five categories: * Best distributed application using object technology with legacy systems * Best application utilizing reusable components leveraged from or for use in other projects * Best object-based application developed using object oriented and non-object oriented tools * Best application demonstrating the costs/benefits of using object technology * Best use of object technology within an enterprise or large systems environment Finalists will be notified the week of September 20, 1995 and must have at least one company representative present at Object World Frankfurt on October 10, 1995. All entrants are required to complete an official entry kit. Entry kits can be obtained by contacting: Christiane Sattler The Object Application Awards c/o Object Management Group Frankfurter Str. 15, ** NEW ADDRESS! ** D-61476 Kronberg (Ts), Germany Tel: +49-6173-2852 Fax: +49-6173-940420 ### ___________________________________________________ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From: Pinar.Ozturk@ifi.unit.no X-Sender: pinar@ifi.unit.no Mime-Version: 1.0 Date: Thu, 23 Mar 1995 11:09:11 +0100 To: ag-exp-l%ndsuvm1.bitnet@cunyvm.cuny.edu, agosta@sumex-aim.stanford.edu, ai-ed@sun.com, ai-medicine@medmail.Stanford.EDU, ai-nat@adfa.oz.au, ai-stats@watstat.uwaterloo.ca, cybsys-l@bingvmb.cc.binghamton.edu, diagrams@cs.swarthmore.edu, IE-list@cs.ucl.ac.uk, kdd@gte.com, met-ai@comp.vuw.ac.nz, pinar@ifi.unit.no Subject: ICCBR-95, final CfP Content-Type: text/plain; charset="us-ascii" Content-Length: 9186 ********************* FINAL CALL FOR PAPERS **************************** INTERNATIONAL CONFERENCE ON CASE-BASED REASONING 1995 (ICCBR-95) Oct. 23-26, 1995 Sesimbra - Portugal ******************************************* KEYNOTE INVITED SPEAKERS Roger Schank - Institute of Learning Sciences, USA Michael Richter - University of Kaiserslautern, Germany PROGRAM CONFERENCE CHAIRS Agnar Aamodt - University of Trondheim, Norway Manuela Veloso - Carnegie Mellon University, USA LOCAL ORGANIZATION CHAIR Carlos Bento - University of Coimbra, Portugal TUTORIAL PRESENTER David Leake - University of Indiana, USA APPLICATIONS AND DEMOS ORGANIZER Stefan Wess - Inference GmbH, Germany ******************************************* We welcome submissions to ICCBR-95, the first international conference on case-based reasoning. The conference follows and extends the CBR workshops that have taken place in the United States since 1988 and Europe since 1993. ICCBR is planned to become a biennial event, encouraging the more specific workshops to be held in the years between. This year's conference will be held in Europe, in the beautiful small town of Sesimbra, south of Lisbon. Case-based reasoning is now an established area of AI, with a continually growing world-wide research community and a number of fielded applications. ICCBR-95 will be a broad-scoped and high-quality conference, where we will sum up the status of the field in a tutorial, discuss recent research results through scientific paper and poster sessions, and in application sessions focus on system building tools and industrial and other type of applications. The overall aim of ICCBR-95 is to advance the scientific and application-oriented state of the CBR field by bringing researchers and system builders together for in-depth discussions and general exchange of views and ideas. As the first international event within the case-based reasoning field, ICCBR-95 should lead to a consolidation of our common platform, and to a strengthening of the CBR community and field in general. The conference will start with an 'application day' consisting of an introductory tutorial and a set of presentations focusing on the practical uses of CBR technology. This is followed by three days of scientific paper presentations, invited talks, panel discussions, and poster sessions. (A WWW page that has been set up to provide info about ICCBR-95 can be found at the address "http://www.ifi.unit.no/iccbr95/". So far it contains this CfP only.) SUBMISSION OF PAPERS: Submissions are invited on all aspects of CBR and analogical reasoning including (but not restricted to): - Indexing and retrieval - Case modification - Learning - Cognitive modelling - Knowledge representation - Case memory structures - Integrated problem solving and learning - Integrating CBR and with other methods - Case-based reasoning and design - Case-based knowledge engineering - Evaluation methods - Comparisons of CBR systems - System architectures - Application-related methods for, e.g., Reuse of experience, Corporate memories, Information filtering/retrieval, Knowledge management Active decision support, Education and tutoring. Papers will be carefully reviewed for relevance to CBR, originality, significance, technical quality, and clarity of presentation. Scientific papers may address theoretical issues, empirical studies, or novel approaches related to cognitive models, computational methods, tool-oriented research, or development methodologies. Application papers may describe fielded or close-to-be-fielded systems, system building experience, or tool studies. Papers may be accepted for plenary or poster presentation. All accepted papers will be published in the conference proceedings. All submissions should be in the form of a printed paper, written in English. Papers should be printed on 8.5" x 11" or A4 sized paper. They must be a maximum of 12 pages long, including figures and bibliography. Each page must have no more than 43 lines, lines being at most 140mm (5.5") long and 12 point type. The papers should have a separate page, in addition to the 12 pages mentioned above, with the title of the paper, names, postal and email address of the authors, a 200-word abstract, and a list of keywords. PLEASE INDICATE ON THE FRONT PAGE WHETHER YOUR PAPER IS A SCIENTIFIC PAPER OR AN APPLICATION PAPER. ********************************************************************** Five copies (preferably double-sided) of submitted papers should be sent by surface mail before April 10th to one of the program conference co-chairs: PROGRAM CONFERENCE CHAIRS Prof. Agnar Aamodt University of Trondheim, Department of Informatics N-7055 Dragvoll, Norway email: agnar@ifi.unit.no phone: +47-7359-1838, fax: +47-7359-1733 Prof. Manuela Veloso Carnegie Mellon University, Department of Computer Science Pittsburgh PA 15213-3891, USA email: mmv@cs.cmu.edu phone: (412) 268-8464, fax: (412) 268-5576 IMPORTANT DATES Submission Deadline April 10th 1995 Notification of Acceptance or Rejection May 20th 1995 Camera-Ready Copy June 20th 1995 ********************************************************************** LOCAL ORGANIZATION CHAIR Carlos Bento Univ. de Coimbra - Lab. de Informatica e Sistemas Vila Franca - Pinhal de Marrocos 3030 Coimbra - PORTUGAL email: bento@mercurio.uc.pt phone: +351 39 7000030, fax: +351 39 701266 APPLICATIONS AND TOOL DEMOS We also invite demos of systems and commercial tools during ICCBR-95. This will be organized by Stefan Wess, University of Kaiserslautern and Inference Germany: Stefan Wess Inference GmbH Lise-Meitner-Strasse 3 D-85716 Unterschleissheim, Germany email: wess@inference.co.uk phone: ++49 89 3218180 fax: ++49 89 32181830 PROGRAM COMMITTEE Agnar Aamodt (co-chair) University of Trondheim Manuela Veloso (co-chair) Carnegie Mellon University David Aha Naval Research Laboratory, Washington DC Klaus Althoff University of Kaiserslautern Kevin Ashley University of Pittsburgh Ray Bareiss ILS, Northwestern University Brigitte Bartsch-Spoerl BSR Consulting, Munich Jeff Berger University of Chicago Karl Branting University of Wyoming Ernesto Costa University of Coimbra Paul Compton University of New South Wales Kris Hammond University of Chicago James Hendler University of Maryland Tom Hinrichs ILS, Northwestern University Carl Gustaf Jansson Stockholm University Jerzy Surma University of Economics, Wroclaw Eric Jones Victoria University of Wellington NZ Mark Keane University of Dublin James King AT&T GIS, USA Janet Kolodner Georgia Institute of Technology David Leake University of Indiana Michel Manago Acknosoft, Paris Enric Plaza IIIA, Spanish Scientific Research Council Ashwin Ram Georgia Institute of Technology Michael Richter University of Kaiserslautern Chris Riesbeck ILS, Northwestern University Edwina Rissland University of Massachusetts Derek Sleeman University of Aberdeen Ian Smith EPFL, Lausanne Gerhard Strube University of Freiburg Katia Sycara Carnegie Mellon University Henry Tirri University of Helsinki Shusaku Tsumoto Tokyo Medical and Dental University Angi Voss GMD, St. Augustin Ian Watson University of Salford ----------------------------------------------------------------------- PRELIMINARY REGISTRATION FORM Please return the following information to Carlos Bento (bento@mercurio.uc.pt) as soon as possible. Full Name: Title: Organization: Address: Tel: Fax: e-mail: Check the appropriate boxes below: [ ] I intend to submit a scientific paper to ICCBR-95. [ ] I intend to submit an application-oriented paper to ICCBR-95. [ ] I do not intend to submit a paper, but I would like to attend the conference. [ ] I do not intend to attend the whole conference, but I would like to participate on the first day (tutorial and application day) ----------------------------------------------------------------------- ------------------------------- Pinar Ozturk // e-mail: Pinar.Ozturk@ifi.unit.no University of Trondheim // Phone: +47 73 59 87 17 N-7055 Dragvoll NORWAY // Fax: +47 73 59 17 33