data mining: opportunities and challenges
Chapter XX - Critical and Future Trends in Data Mining A Review of Key Data Mining Technologies/Applications
Data Mining: Opportunities and Challenges
by John Wang (ed) 
Idea Group Publishing 2003
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The advent of laptops, palmtops, cell phones, and wearable computers is 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. However, there are challenges that exist for UDM. Human-computer interaction and data management are challenging issues. Moreover, the sociological and psychological aspects of the integration between DM technology and our lifestyle are yet to be explored. The key issues to consider include theories of UDM, advanced algorithms for mobile and distributed applications, data management issues, markup languages, and other data representation techniques; integration with DB applications for mobile environments, architectural issues (architecture, control, security, and communication issues), specialized mobile devices for UDM, software agents and UDM (agent-based approaches in UDM, agent interaction-cooperation, collaboration, negotiation, organizational behavior), applications of UDM (in business, science, engineering, medicine, and other disciplines), location management issues in UDM, and technology for web-based applications of UDM (Kargupta & Joshi, 2001).

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Data Mining(c) Opportunities and Challenges
Data Mining: Opportunities and Challenges
ISBN: 1591400511
EAN: 2147483647
Year: 2003
Pages: 194
Authors: John Wang

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