Intelligent Information Management

Volume 3, Issue 2 (March 2011)

ISSN Print: 2160-5912   ISSN Online: 2160-5920

Google-based Impact Factor: 1.6  Citations  

Data Mining Technology across Academic Disciplines

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DOI: 10.4236/iim.2011.32005    7,074 Downloads   13,388 Views  Citations

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ABSTRACT

University courses in data mining across the United States are taught primarily in departments of business, computer science/engineering, statistics, and library/information science. Faculty in each of these departments teach data mining with a unique emphasis, although there is considerable overlap relative to course offerings, terminology, technology, resources, and faculty publications. Content analysis research aims to describe in detail the range of data mining technology differences and overlap across academic disciplines.

Share and Cite:

L. Farmer, A. Safer and E. Chuk, "Data Mining Technology across Academic Disciplines," Intelligent Information Management, Vol. 3 No. 2, 2011, pp. 43-48. doi: 10.4236/iim.2011.32005.

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