XLSTAT - Association rules

What are association rules

Association rules are a powerful machine learning tool that allow to find oriented relations between a set of one or more objects and another set of objects in a large dataset. They are frequently applied when studying consumer baskets to find links between associated products.

In 1994, Rakesh Agrawal and Ramakrishnan Sikrant have proposed the Apriori algorithm to identify associations between items in the form of rules. This algorithm is used when the volume of data to be analyzed is important. As the number of items can be several tens of thousands, combinatorics is such that all the rules can not be studied. It is therefore necessary to limit the search for rules to the most important ones. The quality measurements are probabilistic values which limit the combinatorial explosion during the two phases of the algorithm, and allow the sorting of the results

XLSTAT allows you to apply this algorithm on Excel files but also on flat files.


This analysis is available in the XLStat-Basic addin for Microsoft Excel

About KCS

Kovach Computing Services (KCS) was founded in 1993 by Dr. Warren Kovach. The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting.

Mailing list Join our mailing list

Home | Order | MVSP | Oriana | XLStat
QDA Miner | Accent Composer | Stats Books
Stats Links | Anglesey


Like us on Facebook Facebook

Get in Touch

  • Email:
  • Address:
    85 Nant y Felin
    Pentraeth, Isle of Anglesey
    LL75 8UY
    United Kingdom
  • Phone:
    (UK): 01248-450414
    (Intl.): +44-1248-450414