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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Mining for Business Process Reengineering

Data Mining for Business Process Reengineering
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Author(s): Ted E. Lee (University of Memphis, USA), Robert F. Otondo (University of Memphis, USA)and Bonn-Oh Kim (Seattle University, USA)
Copyright: 2002
Pages: 5
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch108
ISBN13: 9781930708396
EISBN13: 9781466641358


Data mining in organizational environments is conducted in human social contexts. This environment is vastly more complex and subtle than the mechanistic, engineered world of the miner. This difference is significant, in that many of the signs encountered in the human world of data mining activities are often equivocal, and the decision rules are more heuristic. “Mining” for patterns in organizational databases is thus more like mineralogical—or, better yet, archeological research in which the relationships between data are fuzzy, messy, equivocal, or unknown. The purpose of this paper is to examine more fully the implications of that shift. The use of data mining technology was part of our cycle time study of the Poplar County Criminal Justice System (a fictitious name). In this paper we will report on the use of data mining in the Poplar County Criminal Justice System (PCCJS) study.

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