• DocumentCode
    3729390
  • Title

    A review study of server log formats for efficient web mining

  • Author

    Pratibha Sharma;Surendra Yadav;Brahmdutt Bohra

  • Author_Institution
    Computer Science, Maharishi Arvind College of Engg. and Research Center, Jaipur, India
  • fYear
    2015
  • Firstpage
    1373
  • Lastpage
    1377
  • Abstract
    Now-a-days WWW is the most basic need in the globalized world. It consist the vast data of various fields around the globe. The web has incredible amount of information, which supplies a large, explosive, diverse, dynamic and mostly unstructured data stores. The combination of these web stores are known as the data warehouse and the process of retrieving the data from these warehouses is data mining. In this paper, we will discuss the classification of web data and its categorization. Here the awareness about the log files of web server is also provided along with its types. Server log files are basically the ASCII text files which contain the log record of users.
  • Keywords
    "Videos","Insects","Algorithm design and analysis","Web mining","Information retrieval"
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICGCIoT.2015.7380681
  • Filename
    7380681