Statistical themes and lessons for data mining

Abstract Data mining is on the interface of Computer Science and Statistics, utilizing advances in both disciplines to make progress in extracting information from large databases. It is an emerging field that has attracted much attention in a very short period of time. This article highlights some statistical themes and lessons that are directly relevant to data mining and attempts to identify opportunities where close cooperation between the statistical and computational communities might reasonably provide synergy for further progress in data analysis.
Keywords No keywords specified (fix it)
Categories No categories specified (fix it)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 5,701
External links
  •   Try with proxy.
  •   Try with proxy.
  • Through your library Only published papers are available at libraries

    Similar books and articles

    Analytics

    Monthly downloads

    Added to index

    2009-01-28

    Total downloads

    5 ( #160,428 of 549,118 )

    Recent downloads (6 months)

    1 ( #63,361 of 549,118 )

    How can I increase my downloads?


    My notes
    Sign in to use this feature


    Discussion
    Start a new thread
    Order:
    There  are no threads in this forum
    Nothing in this forum yet.

    Other forums