• DocumentCode
    2313170
  • Title

    Hybrid Machine Learning Approach in Data Mining

  • Author

    Bellary, Jyothi ; Peyakunta, Bhargavi ; Konetigari, Sekhar

  • Author_Institution
    Dept. of Comput. Applic., Sri Venkateswara Univ., Madanapalli, India
  • fYear
    2010
  • fDate
    9-11 Feb. 2010
  • Firstpage
    305
  • Lastpage
    308
  • Abstract
    In this paper we discuss various machine learning approaches used in mining of data. Further we distinguish between symbolic and sub-symbolic data mining methods. We also attempt to propose a hybrid method with the combination of Artificial Neural Network (ANN) and Cased Based Reasoning (CBR) in mining of data.
  • Keywords
    case-based reasoning; data mining; learning (artificial intelligence); neural nets; artificial neural network; cased based reasoning; machine learning; subsymbolic data mining; Artificial neural networks; Classification tree analysis; Data analysis; Data mining; Data visualization; Databases; Hospitals; Information systems; Learning systems; Machine learning; Artificial Neural Networ (ANN); Case Based Reasoning( CBR); Data Mining; Hybrid Approach; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Computing (ICMLC), 2010 Second International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-6006-9
  • Electronic_ISBN
    978-1-4244-6007-6
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.57
  • Filename
    5460721
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2313170