CFP

6th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining (with SIAM Data Mining Conf), May 2003, San Francisco,
URL: http://www.cis.ohio-state.edu/~srini/hpdm03.html

This workshop will focus on the emerging field of high performance, pervasive, and data stream mining. Over the years the definition of high performance computing has taken on various forms as a function of the types of technical and creative uses and the underlying semantics of the applications driving them. Traditional definitions often refer to the problem of using high end parallel computers to meet the need of scientific applications. However, high performance computing can also include the need for fast sequential algorithms that target memory and I/O performance. The last decade has seen the growth and importance of grid computing where resources and data are physically distributed. This has led to the development of high performance distributed algorithms over the computational grid.

More recently we have seen the advent of mobile and distributed computing environments and sensor networks that offer a completely new set of data mining applications. Accessing and analyzing data in a ubiquitous environment offer many challenges. They include distributed resource aware algorithms, limited access to possibly privacy sensitive data, novel challenges in human-computer interaction, and algorithms for handling data streams. Topics of interest include but are not limited to:

• Data stream mining and management.
• Resource and location-aware mining algorithms.
• Data mining in mobile environments.
• Grid-based data mining and management.
• Theoretical foundations for resource-aware mining in a mobile, streaming and/or distributed environment.
• Systems support for resource and location aware data mining.
• Parallel or distributed techniques for scalable, incremental, exploratory or interactive mining.
• Applications of high performance data mining (HPDM) in business, science, engineering, medicine, and other disciplines.