A novel weighted support method for access pattern mining
Joint Authors
Raju, Gopalakrishna Kurup
Rajimol, Achuthan Nair
Source
International Arab Journal of E-Technology
Issue
Vol. 3, Issue 4 (30 Jun. 2014), pp.201-209, 9 p.
Publisher
Publication Date
2014-06-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Topics
Abstract EN
Sequential Pattern Mining is an important data mining technique that finds out all frequent sequential patterns in a sequence database.
Applications in wide range of important domains make Sequential Pattern Mining an interesting area of research.
Conventional approach for sequential pattern mining treats each and every item in the sequence with equal importance and thus fails to reflect the individual significance of items.
Weighted Sequential Pattern Mining is an approach that treats different items in the sequences with different weights so as to reflect the importance of each item.
Thus, weighted method models real life sequence database in a better manner and more efficient than the conventional sequential pattern mining.
Weighted sequential pattern mining can be used to mine web access patterns more efficiently from web log data.
This paper proposes a new weighted access pattern mining algorithm to mine weighted access patterns in a web log database.
The proposed method uses frequency of user visit to give weights to web pages during the mining process.
Through extensive experimental evaluation the algorithm is proved to be promising.
American Psychological Association (APA)
Raju, Gopalakrishna Kurup& Rajimol, Achuthan Nair. 2014. A novel weighted support method for access pattern mining. International Arab Journal of E-Technology،Vol. 3, no. 4, pp.201-209.
https://search.emarefa.net/detail/BIM-365788
Modern Language Association (MLA)
Raju, Gopalakrishna Kurup& Rajimol, Achuthan Nair. A novel weighted support method for access pattern mining. International Arab Journal of E-Technology Vol. 3, no. 4 (Jun. 2014), pp.201-209.
https://search.emarefa.net/detail/BIM-365788
American Medical Association (AMA)
Raju, Gopalakrishna Kurup& Rajimol, Achuthan Nair. A novel weighted support method for access pattern mining. International Arab Journal of E-Technology. 2014. Vol. 3, no. 4, pp.201-209.
https://search.emarefa.net/detail/BIM-365788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 208-209
Record ID
BIM-365788