Data Preprocessing in Web Usage Mining

Xiang-ying Li ()
Additional contact information
Xiang-ying Li: Shandong Youth University of Political Science

Chapter Chapter 27 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 257-266 from Springer

Abstract: Abstract At present, the study on Web Usage Mining mainly focuses on pattern discovery (including Association Rules, sequence pattern, etc) and pattern analysis. However, the study on the main data sources, that is to say, the study on web-log pre-process is relatively rare. Given that high-quality data helps a lot in improving Pattern mining precision, this paper studies from this aspects, and proposes the high-effective data preprocessing method.

Keywords: Client identification; Date cleaning; Path completion; Web usage mining (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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:978-3-642-38391-5_27

Ordering information: This item can be ordered from
http://www.springer.com/9783642383915

DOI: 10.1007/978-3-642-38391-5_27

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 ().