CALL FOR PAPERS =============== Workshop Title: Ubiquitous Data Mining for Mobile and Distributed Environments http://www.cs.umbc.edu/~hillol/pkdd2001/udm.html Venue: Joint 12th European Conference on Machine Learning (ECML'01) and 5th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'01) http://www.informatik.uni-freiburg.de/~ml/ecmlpkdd/ September 3-7, 2001, Freiburg, Germany Chairs: Hillol Kargupta, University of Maryland Baltimore County, USA (410) 455-3972, hillol@cs.umbc.edu. Krishnamoorthy Sivakumar, Washington State University, USA (509) 335-4969, siva@eecs.wsu.edu. Ruediger Wirth, DaimlerChrysler AG, Germany +49 731 505 2946, ruediger.wirth@daimlerchrysler.com. Program committee: Elisa Bertino, University of Milan, Italy Bertrand du Castel, Schlumberger, USA Pete Edwards, University of Aberdeen, UK Joydeep Ghosh, The University of Texas at Austin, USA Robert Grossman, University of Illinois at Chicago, USA Jochen Hipp, Wilhelm-Schickard-Institute, Germany Anupam Joshi, University of Maryland Baltimore County, USA Vipin Kumar, University of Minnesota, USA Michael May, GMD - German National Research Center for Information Technology, Germany Sally McClean, University of Ulster, UK Erich Neuhold, GMD - German National Research Center for Information Technology and University of Darmstadt, Germany Andreas L. Prodromidis, Columbia University, USA Mehmet Sayal, HP Lab, USA Nandit Soparkar, University of Michigan, USA Parthasarathy Srinivasan, Ohio State University, USA Peter I. Scheuermann, Northwestern University, USA Yelena Yesha, University of Maryland Baltimore County, USA Scope of the Workshop: Knowledge discovery and data mining (KDD) deal with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. KDD is playing an increasingly important role business, scientific, and engineering applications because of the growing availability of data in electronic format. The advent of laptops, palmtops, cell phones, and wearable computers is also making ubiquitous access to large quantity of data possible. Advanced analysis of data for extracting useful knowledge is the next natural step in the world of ubiquitous computing. This workshop will focus on the state-of-the-art technology for ubiquitous data mining (UDM) in mobile and distributed environments. Accessing and analyzing data from a ubiquitous computing device offer many challenges. For example, the benefits of ubiquitous presence usually do not come for free. UDM introduces additional cost due to communication, computation, security, and other factors. So one of the objectives of UDM is to mine data while minimizing the cost of ubiquitous presence. Human-computer interaction is another challenging aspect of UDM. Visualizing patterns like, classifiers, clusters, associations and others, in portable devices are usually difficult. The small display areas offer serious challenges to interactive data mining environments. Data management in a mobile environment is also a challenging issue. Moreover, the sociological and psychological aspects of the integration between data mining technology and our lifestyle are yet to be explored. We need to develop the technology to offer the benefits of KDD in a ubiquitous fashion in such a way that the cost of ubiquitous presence is minimized. This workshop will focus on this emerging technology. The topics of interest include, but are not limited to: 1. Theoretical foundation of UDM. 2. Methods and algorithms: Advanced algorithms for mobile and distributed KDD applications. 3. Data management issues, mark-up languages, and other data representation techniques; integration with database applications for mobile environments. 4. Architectural issues: Architecture, control, security, and communication issues. 5. Specialized mobile devices for UDM. 6. Experimental systems: Development of experimental systems, performance design issues. 7. Software agents and UDM: Agent based approaches in UDM, Agent interaction---cooperation, collaboration, negotiation, organizational behavior. 8. Applications of UDM: Application in business, science, engineering, medicine, and other disciplines. 9. Human-computer interaction: Human-computer interaction in UDM, multi-user interaction in UDM. 10. Location management issues in UDM. 11. Technology for web-based applications of UDM. Important Dates: 08/06/2001 --- Paper submission deadline 29/06/2001 --- Paper acceptance notification 13/07/2001 --- Paper camera-ready deadline 27/07/2001 --- Workshop proceedings (camera- and Web-ready) Paper Submission: All papers must be submitted to the following address: Krishnamoorthy Sivakumar School of Electrical Engineering and Computer Science Washington State University Pullman, WA 99164-2752 e-mail: siva@eecs.wsu.edu Phone: (509) 335-4969 Fax: (509) 335-3818 Electronic submission (postscript or pdf) is highly encouraged. Please include the following in your email subject line: PKDD-UDM 2001 Submission: For hard-copy submission, please send three (3) copies of the full paper to the above address. If you are making a hardcopy submission, please also send an email containing the author(s) and title for your submission to siva@eecs.wsu.edu. Papers should, 1) be a maximum of 20 pages (A4 or Letter), 2) have a line spacing of 1.5, 3) use no smaller than a 12pt font, and 4) have at least a 1 inch (25 mm) margin on each side Publication The accepted papers will be published in the workshop proceedings. It will be printed by the ECML/PKDD organizers and distributed among registered participants of the workshop. In addition, there will be a joint Web-publication of all the workshop proceedings after the PKDD-ECML conference.