Forwarded message from [songiy@DREXEL.EDU (Il-Yeol Song)] sent originally on Tue, 21 Mar 2000 17:27:27 -0500: : 2ND CALL FOR PAPERS - 2ND CALL FOR PAPERS - 2ND CALL FOR PAPERS : : International Workshop on : Conceptual Modelling for Knowledge Discovery and Management Systems : KDMS2000 : to be held in conjunction with the : 19th International Conference on Conceptual Modelling, ER2000, : Salt Lake City, Utah, October 9-12, 2000 : : Aim of the Workshop : Knowledge discovery systems (and knowledge discovery components of larger : systems) are constructed to automate the analysis of large volumes of : structured or semi-structured data. They contain data mining algorithms that : apply heuristics to generate rules that can then be passed to either a user for : further investigation or directly to a system to modify the system's behaviour. : However, the results from data mining routines, whilst constrained, are : dependent on the knowledge found within the data and thus the nature of the : rules and the behaviour of the system cannot be entirely predicted a priori. : Moreover, the semantics of the rules discovered are critically dependent on the : model of the data being mined. Nevertheless, the development of reliable, : robust and responsive systems that employ data mining components is important : as the potential benefits of employing knowledge discovery are large. It is : important, therefore, that there be a solid conceptual foundation in terms ! : of data, rule and process modelling. : Knowledge management systems manage data, information, knowledge, and processes : accumulated by an organization. Recently, knowledge discovery and knowledge : management have become a popular issues for organizations striving for : competitive intelligence. Many data mining algorithms have been proposed, : however, to date, little research has been undertaken on their adoption, : application and modeling for knowledge management. The motivation for knowledge : management initially came from industry in order to satisfy business needs and : to create competitive advantage. Attention from the research community is more : recent and a variance exists between the industry and the research communities. : : In this workshop, we aim to create a forum for both researchers and : practitioners in the areas of knowledge discovery and knowledge management : systems for the discussion of various open issues, research topics, techniques, : practices and lessons learned from industry for reducing this gap. In this : respect we are less interested in data mining algorithms themselves, than in : their application to real-world projects and their integration within existing : systems. : The workshop will thus provide a forum for the development of research related : to the modelling of knowledge discovery and management systems. : Topics include, but are not limited to: : Capturing and filtering knowledge characteristics : Experience papers in embedding knowledge discovery and management : components into real-world systems : Identification and integration of knowledge management sources : Knowledge management for e-commerce : Methodologies and Tools for Knowledge Discovery and Management Systems : Modelling knowledge discovery and management processes : Modelling the results of data mining : Models for mining from semi-structured data : Models of web mining : Ontologies of data mining routines and knowledge discovery systems : Process models for knowledge discovery and management systems : Software engineering for knowledge discovery and management systems : Statistical modelling and its use in knowledge discovery systems : Survey and research issues in KDMSs : Techniques for competitive intelligence : The use of data mining within the requirement analysis and : design processes : User requirements for knowledge discovery or management. : : Publication of Proceedings : The workshop proceedings will be published as part of the Springer, Lecture : Notes in Computer Science series. : : Format and Submission of papers : Format of papers will be as for the main International Conference on Conceptual : Modelling and the other workshops (12 pages in Springer's Lecture Notes in : Computer Science standard format). Springer files for formatting can be found : at http://www.springer.de/comp/lncs/authors.html. : Except in exceptional cases, papers will only be accepted electronically to : kdms2000@cs.flinders.edu.au. A notice of confirmation will be sent, again : electronically, once the submission has been successfully printed. Postscript, : Word and PDF are all acceptable for refereeing although please be aware that : formats for final camera ready versions may be more restrictive than this. : Important Dates : Papers Due - April 18, 2000 : Notification of Acceptances - May 30, 2000 : Camera Ready Copy - July 6, 2000 : Workshop Dates - October 9-12, 2000 : Programme Chairs : John Roddick, Flinders University, Australia : Il-Yeol Song, Drexel University, USA : Programme Committee : David Cheung, U. Hong Kong : Martin Ester, Munich U., Germany : Elena Ferrari, U. Milano, Italy : Fabio Grandi, U. Bologna, Italy : Kathleen Hornsby, U. Maine, USA : Ling Liu, Georgia Tech., USA : Rokia Missaoui, U. Quebec at Montreal, Canada : Mukesh Mohania, Western Michigan U., USA : Jian Pei, Simon Fraser U., Canada : Chris Rainsford, DSTO, Australia : Stefan Rueger, Imperial College, UK : Peter Scheuermann, Northwestern U., USA : Kathy Shelfer, Drexel U., USA : Junho Shim, Drexel U., USA : Myra Spiliopoulou, Humboldt U., Germany : Vassilios Verykios, Drexel U., USA : X. Sean Wang, GMU, USA : Kyu-Young Whang, KAIST, Korea : Xindong Wu, Colorado School of Mines, USA : Philip Yu, IBM T.J. Watson Research Center, USA : : About ER2000 : The International Conference on Conceptual Modeling provides an international : forum for presenting and discussing current research and applications in which : the major emphasis is on conceptual modeling. The conference was originally : devoted to the Entity-Relationship (ER) model, but has long since expanded to : include all types of semantic data modeling, behavior and process modeling, and : object-oriented systems modeling. The conference embraces all phases of : software development including analysis, specification, design, implementation, : evolution and reengineering. It is the aim of this conference to present : state-of-the-art research on emerging topics in conceptual modeling, to review : important techniques in related areas, and to discuss application papers of : interest to information system professionals as well as information technology : academics and researchers. : Further details can be found at the ER2000 website http://www.er2000.byu.edu/. : : Location : The conference will be one of three workshops held in conjunction with the 19th : International Conference on Conceptual Modelling, ER2000, in Salt Lake City, : Utah. : : Further Information : KDMS2000 Workshop : Email: kdms2000@cs.flinders.edu.au : Website http://www.cs.flinders.edu.au/Events/kdms2000 : : ER2000 Conference : Website http://www.er2000.byu.edu/. : : -------------------------------------------------------- : Il-Yeol Song, Ph.D. : Associate Professor : College of Information Science and Technology : Drexel University : Philadelphia, PA 19104 : Phone: (215) 895-2489 Fax: (215) 895-2494 : Email: song@drexel.edu : Home Page: http://www.cis.drexel.edu/faculty/song/ : --------------------------------------------------------- : : ÿÿStart of ISWorld List Footer ÿÿ : ISWorld list is a service of the Association for Information Systems (AIS) : (http://www.aisnet.org) hosted at University College Dublin. 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