CFPFrom: Hillol Kargupta hillol@csee.umbc.eduDate: Mon, 26 Mar 2001 01:12:48 -0500 (EST) Subject: PKDD-2001 Ubiquitous Data Mining Workshop, deadline June 8, 2001 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. 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. 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) For submission and other details, please see workshop web page above. |
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