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Negative Association Rules in Data Mining
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Author(s): Olena Daly (Monash University, Australia)and David Taniar (Monash University, Australia)
Copyright: 2005
Pages: 6
Source title:
Encyclopedia of Data Warehousing and Mining
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59140-557-3.ch163
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Abstract
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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