Academic journal article Journal of Digital Information Management

Jan Rauch: Observational Calculi and Association Rules

Academic journal article Journal of Digital Information Management

Jan Rauch: Observational Calculi and Association Rules

Article excerpt

Jan Rauch

Observational Calculi and Association Rules

Studies in Computational Intelligence Series no. 469

Springer, Heidelberg, New York, Dordrecht, London

ISBN: 978-3-643-11736-7

16 Chapters. 296 pages

Association Rules perhaps have significant impact in data mining than any other technique. In the last couple of years we have been encountering with many newer specific mining techniques and methods. Besides, we have mining of atomic level concepts to gain understanding of the data we have.

Jan Rauch took the mathematical formulation, the Observational Calculi which was formulated by Petr Hajek and Tomas Havranek to understand how the association rules can able to support the scientific hypotheses verification. He developed a theory based on the statement, "if we accept theoretical assumptions and verify a particular statement about the observed data, we accept a conclusion-a theoretical statement". Statistical techniques are warranted to make the theoretical assumptions to reality. Based on this concept, he produced the documentation on calculi association rules.

This book has four parts with 16 chapters which spread into a very large number of sub-sections. The Part I discusses the logical calculi behind the association rules. A basic chapter on the Data Matrices forms a component in this section. The core of the association rules is the Boolean attributes which are derived from an analysis of data matrix. …

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