• Knowledge Discovery and Data Mining Working Group

    Knowledge Discovery and Data Mining focuses on the process of extracting meaningful patterns from biomedical data (knowledge discovery), using automated computational and statistical tools and techniques on large datasets (data mining).

Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining focuses on the process of extracting meaningful patterns from biomedical data (knowledge discovery), using automated computational and statistical tools and techniques on large datasets (data mining). Its underlying goal is to help humans make high-level sense of large volumes of low-level data, and share that knowledge with colleagues in related fields. It can involve methods for data preparation, cleaning, and selection, use of appropriate prior knowledge, development and application of data mining algorithms, and proper results analysis. It engages methods from such diverse areas as machine learning, pattern recognition, database science, statistics and analytics, artificial intelligence, knowledge acquisition for expert systems, data modeling and visualization, and high performance computing.

Visit the online community for this group at http://connect.amia.org/KDDM-WG

To send a message to this group, please use 
amia-KDDMWG@connectedcommunity.org

You must be a member of AMIA and a member of the WG in order to post.

Knowledge Discovery and Data Mining Leadership View More

Chair
Vice Chair
Past-Chair

Knowledge Discovery and Data Mining Resources View More

  • Student Paper Competition AMIA 2015
    March 15, 2016
  • Student Paper Competition AMIA 2014
    February 24, 2016
  • Webinar: What is Big Data and how does it differ from managing any large data set
    Sunil Soares
    February 21, 2013