Exception Rules in Data Mining

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Author(s): Olena Daly (Monash University, Australia)and David Taniar (Monash University, Australia)
Copyright: 2008
Pages: 7
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch021

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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Abstract

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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