Overview
- Introductory book on the novel concept of Action Rules Mining
- Recent research in Action Rules Mining
- Written by a leading expert in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 468)
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Table of contents (3 chapters)
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Front Matter
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Back Matter
Keywords
About this book
We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequently asked to analyze new data sets which are often composed of numerous tables possessing different properties. They try to find completely new correlations between attributes and show new possibilities for users.
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Action rules mining discusses some of data mining and knowledge discovery principles and then describe representative concepts, methods and algorithms connected with action. The author introduces the formal definition of action rule, notion of a simple association action rule and a representative action rule, the cost of association action rule, and gives a strategy how to construct simple association action rules of a lowest cost. A new approach for generating action rules from datasets with numerical attributes by incorporating a tree classifier and a pruning step based on meta-actions is also presented. In this book we can find fundamental concepts necessary for designing, using and implementing action rules as well. Detailed algorithms are provided with necessary explanation and illustrative examples.
Authors and Affiliations
Bibliographic Information
Book Title: Action Rules Mining
Authors: Agnieszka Dardzinska
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-35650-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-35649-0Published: 14 December 2012
Softcover ISBN: 978-3-642-43552-2Published: 29 January 2015
eBook ISBN: 978-3-642-35650-6Published: 14 December 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 98