IDEAS home Printed from https://ideas.repec.org/a/igg/jitwe0/v13y2018i2p11-23.html
   My bibliography  Save this article

A MapReduce-Based User Identification Algorithm in Web Usage Mining

Author

Listed:
  • Mitali Srivastava

    (Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India)

  • Rakhi Garg

    (Computer Science Section, Mahila Maha Vidyalaya, Banaras Hindu University, Varanasi, India)

  • P.K. Mishra

    (Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India)

Abstract

This article contends that in the booming era of information, analysing users' navigation behaviour is an important task. User identification is considered as one of the important and challenging tasks in the data preprocessing phase of the Web usage mining process. There are three important issues with the reactive strategies of User identification methods that need to be focused: the first is dealing of sharing IP address problem in a proxy server environment, the second is distinguishing users from Web robots, and the third is dealing with huge datasets efficiently. In this article, authors have developed a MapReduce-based User identification algorithm that deals with the above mentioned three issues related to user identification methods. Moreover, the experiment on the real web server log shows the effectiveness and efficiency of the developed algorithm.

Suggested Citation

  • Mitali Srivastava & Rakhi Garg & P.K. Mishra, 2018. "A MapReduce-Based User Identification Algorithm in Web Usage Mining," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 13(2), pages 11-23, April.
    • Handle: RePEc:igg:jitwe0:v:13:y:2018:i:2:p:11-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITWE.2018040102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jitwe0:v:13:y:2018:i:2:p:11-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.