YAMI : incremental mining of interesting association patterns
Joint Authors
Yafi, Iyad
al-Hegami, Ahmad Sultan
Allam, Afshar
Biswas, Ranjit
Source
The International Arab Journal of Information Technology
Issue
Vol. 9, Issue 6 (30 Nov. 2012)7 p.
Publisher
Publication Date
2012-11-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Association rules are an important problem in data mining.
Massively increasing volume of data in real life databases has motivated researchers to design novel and incremental algorithms for association rules mining.
In this paper, we propose an incremental association rules mining algorithm that integrates shocking interestingness criterion during the process of building the model.
A new interesting measure called shocking measure is introduced.
One of the main features of the proposed approach is to capture the user background knowledge, which is monotonically augmented.
The incremental model that reflects the changing data and the user beliefs is attractive in order to make the overall KDD process more effective and efficient.
We implemented the proposed approach and experiment it with some public datasets and found the results quite promising.
American Psychological Association (APA)
Yafi, Iyad& al-Hegami, Ahmad Sultan& Allam, Afshar& Biswas, Ranjit. 2012. YAMI : incremental mining of interesting association patterns. The International Arab Journal of Information Technology،Vol. 9, no. 6.
https://search.emarefa.net/detail/BIM-305067
Modern Language Association (MLA)
Yafi, Iyad…[et al.]. YAMI : incremental mining of interesting association patterns. The International Arab Journal of Information Technology Vol. 9, no. 6 (Nov. 2012).
https://search.emarefa.net/detail/BIM-305067
American Medical Association (AMA)
Yafi, Iyad& al-Hegami, Ahmad Sultan& Allam, Afshar& Biswas, Ranjit. YAMI : incremental mining of interesting association patterns. The International Arab Journal of Information Technology. 2012. Vol. 9, no. 6.
https://search.emarefa.net/detail/BIM-305067
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-305067