This article is cited in 1 paper

Associative classification: analytical overview. Part 2

V. I. Gorodetsky, O. N. Tushkanova

St.Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences

Abstract: The paper continues the survey of associative classification in context of big data processing. An extended overview and comparative analysis of the modern approaches, models and algorithms developed for associative classification form the main paper contents. In conclusion, the paper outlines the main advantages and drawbacks of associative classification, as well as evaluates its capabilities from big data processing perspective.

Keywords: associative classification, emerging pattern, big data.

UDC: 004.853

DOI: 10.15622/sp.39.13