Log Mining of Virtual Host Website Based on Association Rule
Xi Guangwen () and
Long Gonglun ()
Additional contact information
Xi Guangwen: Chongqing Three Gorges University
Long Gonglun: Chongqing Normal University
A chapter in 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, 2013, pp 681-686 from Springer
Abstract:
Abstract Website log recorded the users’ behavior of accessing and browse. Users’ accessing and browsing behaviors are recorded in web logs, by mining which those behaviors can be analyzed and hence provide valuable data for optimizing web structures. But most virtual hosting websites have no log-recording functions, it brings great inconvenience to log mining. This paper introduces a method of creating logs on virtual hosting website and mining them with associate rules would help in discovering users’ visiting patterns, which improves site structures and optimizes user experiences.
Keywords: Log mining; Association rules; Virtual hosting; Apriori (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34910-2_77
Ordering information: This item can be ordered from
http://www.springer.com/9783642349102
DOI: 10.1007/978-3-642-34910-2_77
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().