Effect of Temporal Relationships in Associative Rule Mining for Web Log Data
Joint Authors
Mustapha, Aida
Mohd Khairudin, Nazli
Ahmad, Mohd Hanif
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The advent of web-based applications and services has created such diverse and voluminous web log data stored in web servers, proxy servers, client machines, or organizational databases.
This paper attempts to investigate the effect of temporal attribute in relational rule mining for web log data.
We incorporated the characteristics of time in the rule mining process and analysed the effect of various temporal parameters.
The rules generated from temporal relational rule mining are then compared against the rules generated from the classical rule mining approach such as the Apriori and FP-Growth algorithms.
The results showed that by incorporating the temporal attribute via time, the number of rules generated is subsequently smaller but is comparable in terms of quality.
American Psychological Association (APA)
Mohd Khairudin, Nazli& Mustapha, Aida& Ahmad, Mohd Hanif. 2014. Effect of Temporal Relationships in Associative Rule Mining for Web Log Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051160
Modern Language Association (MLA)
Mohd Khairudin, Nazli…[et al.]. Effect of Temporal Relationships in Associative Rule Mining for Web Log Data. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051160
American Medical Association (AMA)
Mohd Khairudin, Nazli& Mustapha, Aida& Ahmad, Mohd Hanif. Effect of Temporal Relationships in Associative Rule Mining for Web Log Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051160
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051160