The Proceedings of the Information Systems Education Conference 2002: §224b Home Papers/Indices prev (§224a) Next (§224c)

Paper (refereed) Leading Edge and Emerging Technologies

Recommended Citation: Hsu, J. Data Mining Trends and Developments: The Key Data Mining Technologies and Applications for the 21st Century. In The Proceedings of the Information Systems Education Conference 2002, v 19 (San Antonio): §224b. ISSN: 1542-7382.

Data Mining Trends and Developments: The Key Data Mining Technologies and Applications for the 21st Century

Refereed

Jeffrey Hsu    [a1] [a2]
Information Systems
Fairleigh Dickinson University    [u1] [u2]
Madison, New Jersey, USA    [c1] [c2]

This paper discusses a number of technologies, approaches, and research areas which have been identified as having critical and future promise in the field of data mining. There is currently an explosion in the amount of data which we now produce and have access to, and mining from these sources can uncover important information. The extensive use of handheld, wireless, and other ubiquitous devices is a developing area, since a lot of information being created and transmitted would be maintained and stored only on these kinds of devices. Among the other areas which are being developed, investigated, and applications identified for include hypertext and hypermedia data mining, phenomenal data mining, distributed/collective data mining, constraint-based data mining, and other related methods.

Keywords: data mining, distributed, ubiquitous, hypertext, multimedia, time-series, constraint-based, phenomenal

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