An effective data preprocessing method for Web Usage Mining

Author

Sudheer Reddy, K. ; Kantha Reddy, M. ; Sitaramulu, V.

Author_Institution

Dept. of CSE, Acharya Nagarjuna Univ., Guntur, India

fYear

2013

fDate

21-22 Feb. 2013

Firstpage

7

Lastpage

10

Abstract

Web Usage Mining (WUM) is one of the categories of data mining technique that identifies usage patterns of the web data, so as to perceive and better serve the requirements of the web applications. The working of WUM involves three steps - preprocessing, pattern discovery and analysis. The first step in WUM - Preprocessing of data is an essential activity which will help to improve the quality of the data and successively the mining results. This research paper studies and presents several data preparation techniques of access stream even before the mining process can be started and these are used to improve the performance of the data preprocessing to identify the unique sessions and unique users. The methods proposed will help to discover meaningful pattern and relationships from the access stream of the user and these are proved to be valid and useful by various research tests. The paper is concluded by proposing the future research directions in this space.

Keywords

Internet; data mining; WUM; Web applications; Web data; Web usage mining; analysis step; data mining technique; data preparation techniques; data preprocessing method; data quality improvement; pattern discovery step; preprocessing step; usage pattern identification; Cascading style sheets; Cleaning; Data mining; Data preprocessing; IP networks; Web servers; Data Preprocessing; Path completion; User Session; Web Usage Mining; Web log;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2013 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-5786-9

Type

conf

DOI

10.1109/ICICES.2013.6508197

Filename

6508197