Rule induction based on decision matrix

Author

Huang, Zhiguo ; Li, Yuanxiang

Volume

5

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

527

Lastpage

531

Abstract

Rule induction is an important kind of machine learning technique. Aiming at finding efficient algorithm of rule induction, this paper studies generating rule set from decision system as a basis of data analysis of rough set, presents a method to simplify decision system on the premise of preserving classification ability of original decision system, and to get the decision of this simplified decision system, designs an efficient approach of rule induction based on decision matrix by using logical expression transformation. Finally, an illustrative example is used to show the feasibility and efficiency of this algorithm.

Keywords

data analysis; learning (artificial intelligence); matrix algebra; pattern classification; rough set theory; data analysis; decision matrix; decision system classification; logical expression transformation; machine learning technique; rough set theory; rule induction; Algorithm design and analysis; Data analysis; Data mining; Educational institutions; Induction generators; Laboratories; Learning systems; Machine learning; Machine learning algorithms; Software engineering; decision matrix; rough set; rule induction; rule reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451269

Filename

5451269