DocumentCode :
2411676
Title :
Data-mining by probability-based patterns
Author :
Karegar, M. ; Isazadeh, A. ; Fartash, F. ; Saderi, T. ; Navin, A. Habibizad
Author_Institution :
Dept. of Comput. Eng., Islamic Azad Univ., Tabriz
fYear :
2008
fDate :
23-26 June 2008
Firstpage :
353
Lastpage :
360
Abstract :
In this paper a new method is suggested for designing patterns in data-mining. These patterns are designed using probability rules in decision trees and are cared to be valid, novel, useful and understandable. By using the suggested patterns in data-mining, the system gets efficient information about the data stored in its data-bases and uses them in the best planning for special objectives.
Keywords :
data mining; decision trees; probability; data mining; decision trees; probability-based patterns; Computer science; Data engineering; Data mining; Data warehouses; Decision trees; Information technology; Marketing and sales; Spatial databases; Terminology; Tree graphs; Data-mining; Graph; Pattern; Relation; Relationship; Risk Management; Tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on
Conference_Location :
Dubrovnik
ISSN :
1330-1012
Print_ISBN :
978-953-7138-12-7
Electronic_ISBN :
1330-1012
Type :
conf
DOI :
10.1109/ITI.2008.4588435
Filename :
4588435
Link To Document :
بازگشت