IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Principal component analysis-based frequent pattern evaluation on the object-relational data model of a cricket match database

Listed author(s):
  • P. UmaMaheswari
  • M. Rajaram
Registered author(s):

    Frequent pattern evaluation is imperative for cricket match data to develop more proficient coaching strategies and progress the performance of individual players. The rapid growth in size of the match database far exceeds the human ability to analyse, thus creating an opportunity to extract knowledge from this database. Very few research efforts have been carried out on sports data (especially on cricket) and none of them focused on play patterns. Our work emphasises play patterns to discover interesting patterns from cricket matches and evaluate those patterns to turn them into knowledge that can further be used to modify the coaching process and play styles. Since real-time cricket data are too complex, an object-relational model is used here. In this work, Principal Component Analysis (PCA) is used to reduce high dimensional match data set into lower dimensional data set in order to improve predictive performance and to detect frequently occurring play patterns.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Inderscience Enterprises Ltd in its journal Int. J. of Data Analysis Techniques and Strategies.

    Volume (Year): 1 (2009)
    Issue (Month): 4 ()
    Pages: 364-384

    in new window

    Handle: RePEc:ids:injdan:v:1:y:2009:i:4:p:364-384
    Contact details of provider: Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ids:injdan:v:1:y:2009:i:4:p:364-384. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darren Simpson)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.