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Hastie, T., Tibshirani, R., and Friedman, J. 2009. The Elements of Statistical Learning (2nd ed.). Springer. New York. doi:10.1007/978-0-387-84858-7

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• TITLE: Data Mining Technology across Academic Disciplines

  AUTHORS: Lesley Farmer, Alan Safer, Eric Chuk

  KEYWORDS: Data Mining, Statistics, Academics

  JOURNAL NAME: Intelligent Information Management, Vol.3 No.2, March 9, 2011

  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.