Novel and Efficient Hybrid Strategies for Constraining the Search Space in Frequent Itemset Mining

  • B. Kalpana
  • R. Nadarajan
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 6)

Association rule mining was originally applied in market basket analysis which aims at understanding the behaviour and shopping preferences of retail customers. The knowledge is used in product placement, marketing campaigns, and sales promotions. In addition to the retail sector, the market basket analysis framework is also being extended to the health and other service sectors. The application of association rule mining now extends far beyond market basket analysis and includes detection of network intrusions, attacks from Web server logs, and prediciting user traversal patterns on the Web.


Frequent Itemsets Hybrid Strategy Frequent Itemset Mining Sample Database Dense Dataset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ceglar, A. and Roddick, J.F. (2006). Association mining, ACM Computing Surveys, vol. 38, no. 2.Google Scholar
  2. 2.
    Agrawal, R., Imielinski T., and Swami, A. (1993). Mining association rules between sets of items in large databases, ACM SIGMOD Conference on Management of Data.Google Scholar
  3. 3.
    Davey, B.A. and Priestley, H.A. (1990). Introduction to Lattices and Order, Cambridge University Press, UK.MATHGoogle Scholar
  4. 4.
    Shenoy, P. et al. (2000). Turbo charging vertical mining of large databases, International Conference on Management of Data.Google Scholar
  5. 5.
    Zaki, M.J. (2000). Scalable algorithms for association mining, IEEE Transactions on Knowledge and Data Engineering, vol. 12, no. 3, pp. 372–390.CrossRefMathSciNetGoogle Scholar
  6. 6.
    Zaki, M.J. and Gouda, K. (2003). Fast vertical mining using diffsets, SIGKDD’.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • B. Kalpana
    • 1
  • R. Nadarajan
    • 2
  1. 1.Department of Computer ScienceAvinashilingam University for WomenCoimbatoreIndia
  2. 2.Department of Mathematics and Computer ApplicationsPSG College of TechnologyCoimbatoreIndia

Personalised recommendations