• DocumentCode
    2210951
  • Title

    Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges

  • Author

    Huan, Jun

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Kansas, Lawrence, KS, USA
  • fYear
    2010
  • fDate
    13-17 Dec. 2010
  • Firstpage
    1218
  • Lastpage
    1218
  • Abstract
    In United State several universities and research institutes including the national health institute (NIH) recently started programs aiming for drug discovery. With the initiatives, huge volumes of data have been collected and shared with public free of charge. Those initiatives provide an unprecedented opportunity for data miner and machine learner to study knowledge discovery problems associated with drug design. In this tutorial, the presenter will review the knowledge discovery and management needs in the drug discovery process. Latest methodology development, primarily those from data mining, machine learning, and statistical learning will be discussed.
  • Keywords
    data mining; learning (artificial intelligence); pharmaceuticals; Academic Drug Discovery Programs; data mining; drug design; drug discovery process; knowledge discovery; machine learning; national health institute; statistical learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining (ICDM), 2010 IEEE 10th International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-4786
  • Print_ISBN
    978-1-4244-9131-5
  • Electronic_ISBN
    1550-4786
  • Type

    conf

  • DOI
    10.1109/ICDM.2010.163
  • Filename
    5694112