Distributed Association Rule Mining

Distributed Association Rule Mining

Mafruz Zaman Ashrafi (Monash University, Australia), David Taniar (Monash University, Australia) and Kate A. Smith (Monash University, Australia)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch077
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Abstract

Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques. It is related to a subarea of statistics called exploratory data analysis. During the past decade, data mining techniques have been used in various business, government, and scientific applications.

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