Data Mining Technology across Academic Disciplines
Lesley Farmer, Alan Safer, Eric Chuk
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DOI: 10.4236/iim.2011.32005   PDF    HTML     7,043 Downloads   13,321 Views   Citations

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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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[5] Olson, D. and Shi, Y. 2006. Introduction to Business Data Mining. McGraw-Hill, Columbus, OH.
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