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2016 | OriginalPaper | Chapter

Performance Comparison to a Classification Problem by the Second Method of Quantification and STRIM

Authors : Yuya Kitazaki, Tetsuro Saeki, Yuichi Kato

Published in: Rough Sets

Publisher: Springer International Publishing

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Abstract

STRIM is used for inducing if-then rules hidden behind a database called the decision table. Meanwhile, the second method of quantification is also often used as a method for summarizing and arranging such a database. This paper first summarizes both methods, next compares their performance in a learning and classification problem by applying them to a simulation dataset, and lastly considers features and clarifies differences of both methods based on the simulation results.

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Title: Performance Comparison to a Classification Problem by the Second Method of Quantification and STRIM
Authors: Yuya Kitazaki
Tetsuro Saeki
Yuichi Kato
Publisher: Springer International Publishing
Book: Rough Sets
Print ISBN: 978-3-319-47159-4

Electronic ISBN: 978-3-319-47160-0

Copyright Year: 2016
DOI: https://doi.org/10.1007/978-3-319-47160-0_37

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