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Trudy SPIIRAN, 2015, Issue 38, Pages 183–203
DOI: https://doi.org/10.15622/sp.38.10
(Mi trspy782)
 

This article is cited in 2 scientific papers (total in 2 papers)

Associative Classification: Analytical Overview. Part 1

V. I. Gorodetsky, O. N. Tushkanova

St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
Full-text PDF (933 kB) Citations (2)
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.
Keywords: associative classification; emerging pattern; big data.
Document Type: Article
UDC: 004.853
Language: Russian


Citation: V. I. Gorodetsky, O. N. Tushkanova, “Associative Classification: Analytical Overview. Part 1”, Tr. SPIIRAN, 38 (2015), 183–203
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  • https://www.mathnet.ru/eng/trspy782
  • https://www.mathnet.ru/eng/trspy/v38/p183
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    This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Informatics and Automation
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