NDLI: A novel approach to mining access patterns

Content Provider	IEEE Xplore Digital Library
Author	Xiuming Yu Meijing Li Hyeongsoo Kim Dong Gyu Lee Jeong Seok Park Keun Ho Ryu
Copyright Year	2011
Description	Author affiliation: Database / Bioinformatics Laboratory, Chungbuk National University, CheongJu, South Korea (Xiuming Yu; Meijing Li; Hyeongsoo Kim; Dong Gyu Lee; Keun Ho Ryu) \|\| Medical Informatics·Engineering, Chungju National University, Chungju, South Korea (Jeong Seok Park)
Abstract	Web log mining is an important area of Web Usage Mining (WUM) for discovering useful information from web log files produced by web servers. According to the mining task, user access patterns can be extracted and the result can be applied to improve websites, business intelligence systems and other areas. In this paper, we propose a novel approach for exacting user access patterns by achieving a large event set and improving the BI-Directional Extension closure checking method (BIDE). The process of getting a large event set can filter out the more frequent events and discard the infrequent events to reduce the number of data. Compared with other methods, the BIDE method with the constraint of gap can achieve a more efficient mining process and generate more accurate results. In our experiment, the effect of the mining task is discussed and the applications of this approach are presented.
Starting Page	350
Ending Page	355
File Size	1233631
Page Count	6
File Format	PDF
ISBN	9781457708879
e-ISBN	9781457708886
DOI	10.1109/ICAwST.2011.6163169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web log mining Web Usage Mining Bidirectional control Large event set Web log file BIDE method IP networks
Content Type	Text
Resource Type	Article

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