IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-34910-2_54.html
   My bibliography  Save this book chapter

The Algorithm of Data Preprocessing in Web Log Mining Based on Cloud Computing

In: 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings

Author

Listed:
  • Guanglu Zhang

    (Northwest Normal University)

  • Mingxin Zhang

    (Changshu Institute of Technology)

Abstract

In the structure of distributed cluster server, web log data mining model based on data warehouse has the defects of bottlenecks in the network and computing, transmission errors caused by the large data transmission, the paper makes use of the advantages of cloud computing, distributed processing and virtualization technology, designs a type of Web log analysis platform based on cloud computing Hadoop cluster framework, finally, a new hybrid algorithm of distributed procession in the cloud computing environment is proposed. To further verify the efficiency of the platform, we use the improved data pretreatment algorithm on the platform of processing large number of Web logs, experimental results show that it can improve the efficiency of Web data mining.

Suggested Citation

  • Guanglu Zhang & Mingxin Zhang, 2013. "The Algorithm of Data Preprocessing in Web Log Mining Based on Cloud Computing," Springer Books, in: Bing Xu (ed.), 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, edition 127, pages 467-474, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-34910-2_54
    DOI: 10.1007/978-3-642-34910-2_54
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-642-34910-2_54. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.