Abstract
The paper topic is associative classification intended for processing of big data. It formulates corresponding problem statement and introduces basic concepts and formal notation used in associative classification. An extended overview and comparative analysis of the early approaches, models and algorithms for associative classification form the main paper contents. The paper assesses the contribution of the first papers devoted to associative classification to the development of this area and formulates goals of the further research.
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