• DocumentCode
    256753
  • Title

    Analysis of Enterprise User Behavior on Hadoop

  • Author

    Gang He ; Siying Ren ; Decheng Yu ; Xiaochun Wu

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    In the past few years, the network is an essential part in human´s life. More and more people choose shopping, chatting and video online. All the online activities produce tons of data which contain our behavior characteristics. Traditional data analyses just focus on one kind of feature, while they neglect the behavior information generated by merging multiple features. Based on the basic data set, this paper provides a new method for analyzing data, called Compound Session. After acquiring the Compound Session data, we continue to process data from the perspective of enterprise user and produce three types of analysis tables. Due to huge amounts of data from more than two thousand enterprises, we propose to process data on the cloud computing platform called Hadoop.
  • Keywords
    cloud computing; data analysis; Hadoop; behavior characteristics; behavior information; cloud computing platform; compound session; data analysis; enterprise user behavior; online activity; Algorithm design and analysis; Compounds; Downlink; Internet; Real-time systems; Speech; Uplink; Compound Session; enterprise user´s behavior; host analytics; mapreduce;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4956-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2014.158
  • Filename
    6911489