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Engineering - Computational Intelligence and Complexity | Observational Calculi and Association Rules

Observational Calculi and Association Rules

Rauch, Jan

2013, XXII, 296 p. 67 illus.

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  • State of the art of Observational Calculi and Association Rules
  • presents the main features of observational calculi
  • introduces association rules as formula of special observational calculi
Observational calculi were introduced in the 1960’s as a tool of logic of discovery. Formulas of observational calculi correspond to assertions on analysed data. Truthfulness of suitable assertions can lead to acceptance of new scientific hypotheses. The general goal was to automate the process of discovery of scientific knowledge using mathematical logic and statistics. The GUHA method for producing true formulas of observational calculi relevant to the given problem of scientific discovery was developed. Theoretically interesting and practically important results on observational calculi were achieved. Special attention was paid to formulas - couples of Boolean attributes derived from columns of the analysed data matrix. Association rules introduced in the 1990’s can be seen as a special case of such formulas. New results on logical calculi and association rules were achieved. They can be seen as a logic of association rules. This can contribute to solving contemporary challenging problems of data mining research and practice. The book covers thoroughly the logic of association rules and puts it into the context of current research in data mining. Examples of applications of theoretical results to real problems are presented. New open problems and challenges are listed. Overall, the book is a valuable source of information for researchers as well as for teachers and students interested in data mining.

Content Level » Research

Keywords » Association Rules - Computational Intelligence - Data Mining - Observational calculi

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents 

Part I Logical Calculi of Association Rules.-

Part II Classes of Association Rules.-

Part III Results on Classes of Association Rules.-

Part IV Applications and Research Challenges.

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