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Statistical Implicative Analysis Approximation to KDD and Data Mining

Authors:
Rubén Pazmiño
Francisco García
Miguel Conde

Keywords: Implicative Analysis; Knowledge Discovery Database; data mining, systematic review, mapping review.

Abstract:
According to scopus, only in the year 2016, there should be 15747 scientific documents about data mining and KDD, have been and remain useful technologies. In this document, we determine the approximation level of SIA to KDD and Data Mining. To this end, we have created an approximation framework based in definition and step process proposed by Fayyad. We use mapping review and systematic review in the literature published in the last 5 years in bibliographic databases ACM, EBSCO, Google Scholar, IEEE, ProQuest, Scopus and WOS. We started with 200 papers and finally, 35 had all quality criteria. This document also describes the SIA papers and identifies a series of future researches in SIA, KDD and Data Mining.

Pages: 70 to 77

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-558-6

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017