Discovery of Characteristic Patterns from Transactions with Their Classes
Author
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper deals with transactions with their classes.
The classes represent the difference of conditions in the data collection.
This paper redefines two kinds of supports: characteristic support and possible support.
The former one is based on specific classes assigned to specific patterns.
The latter one is based on the minimum class in the classes.
This paper proposes a new method that efficiently discovers patterns whose characteristic supports are larger than or equal to the predefined minimum support by using their possible supports.
Also, this paper verifies the effect of the method through numerical experiments based on the data registered in the UCI machine learning repository and the RFID (radio frequency identification) data collected from two apparel shops.
American Psychological Association (APA)
Sakurai, Shigeaki. 2012. Discovery of Characteristic Patterns from Transactions with Their Classes. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-498002
Modern Language Association (MLA)
Sakurai, Shigeaki. Discovery of Characteristic Patterns from Transactions with Their Classes. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-498002
American Medical Association (AMA)
Sakurai, Shigeaki. Discovery of Characteristic Patterns from Transactions with Their Classes. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-498002
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498002