Negative Association Rules in Data Mining

Negative Association Rules in Data Mining

Olena Daly (Monash University, Australia) and David Taniar (Monash University, Australia)
Copyright: © 2005 |Pages: 6
DOI: 10.4018/978-1-59140-557-3.ch163
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Data Mining is a process of discovering new, unexpected, valuable patterns from existing databases (Chen, Han & Yu, 1996; Fayyad et. al., 1996; Frawley, Piatetsky-Shapiro & Matheus, 1991; Savasere, Omiecinski & Navathe, 1995). Though data mining is the evolution of a field with a long history, the term itself was introduced only 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 then are used together to study data and find previously hidden trends or patterns within.

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