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Data Mining for Business Process Reengineering
Abstract
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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