1. ALGORITHMS FOR ASSOCIATIVE RULE MINING.
- Author
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Bureva, Veselina
- Subjects
- *
ALGORITHMS , *DATA mining , *OPEN source software , *DATABASES - Abstract
In the paper the associative analysis as a Data Mining technique is investigated. The properties of the algorithms for extracting the associative rules is analyzed and compared. The associative analysis is used for discovering and exploring hidden and interesting relationships between items in large amounts of data. The extracted patterns are presented in the form of association rules or sets of frequent items. The associative rules are represent in the form IF A then B. For studying of various algorithms is used open source software RapidMiner. [ABSTRACT FROM AUTHOR]
- Published
- 2013