An Analytical Survey of Current Approaches to Mining Logical Rules from Data

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Author(s): Xenia Naidenova (Military Medical Academy, The Russian Federation, Russia)
Copyright: 2013
Pages: 31
Source title: Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
Source Author(s)/Editor(s): Xenia Naidenova (Military Medical Academy, Russia)and Dmitry I. Ignatov (National Research University Higher School of Economics, Russia)
DOI: 10.4018/978-1-4666-1900-5.ch004

Keywords: Artificial Intelligence / Data Mining / Information Science Reference / Library & Information Science

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Abstract

An analytical survey of some efficient current approaches to mining all kind of logical rules is presented including implicative and functional dependencies, association and classification rules. The interconnection between these approaches is analyzed. It is demonstrated that all the approaches are equivalent with respect to using the same key concepts of frequent itemsets (maximally redundant or closed itemset, generator, non-redundant or minimal generator, classification test) and the same procedures of their lattice structure construction. The main current tendencies in developing these approaches are considered.

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