• DocumentCode
    1879651
  • Title

    Machine learning techniques for Mobile Intelligent Systems: A study

  • Author

    Chaudhary, Arun ; Kolhe, S. ; Kamal, Raj

  • Author_Institution
    Sch. of Comput. Sci. & IT, Devi Ahilya Univ., Indore, India
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The field of Machine learning has developed tremendously with the development of Mobile technology. This paper presents the concept of machine learning and presents a concise study on different machine learning techniques and their applications on mobile devices. It also presents a brief overview of performance parameters of machine learning techniques useful for mobile devices.
  • Keywords
    learning (artificial intelligence); mobile computing; machine learning techniques; mobile devices; mobile intelligent systems; mobile technology; Decision trees; Intelligent systems; Machine learning; Machine learning algorithms; Mobile communication; Mobile handsets; Performance evaluation; 3G+; ANN; Bluetooth; CART; GSM; KNN; Mobile Intelligent System; Mobile computers; Mobile phones; PDA; Pocket PC; Wireles networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communications Networks (WOCN), 2012 Ninth International Conference on
  • Conference_Location
    Indore
  • ISSN
    2151-7681
  • Print_ISBN
    978-1-4673-1988-1
  • Type

    conf

  • DOI
    10.1109/WOCN.2012.6335538
  • Filename
    6335538