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

Exception Rules in Data Mining

Exception Rules in Data Mining
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Author(s): Olena Daly (Monash University, Australia) and David Taniar (Monash University, Australia)
Copyright: 2005
Pages: 5
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch202


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Data mining is a process of discovering new, unexpected, valuable patterns from existing databases (Frawley, Piatetsky-Shapiro, & Matheus, 1991). Though data mining is the evolution of a field with a long history, the term itself was only introduced relatively recently, in the 1990s. Data mining is best described as the union of historical and recent developments in statistics, artificial intelligence, and machine learning. These techniques are then used together to study data and find previously hidden trends or patterns within.

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