Source code (searching for statistical dependency/association rules)

The following program packages contain implementations of my algorithms. All of them search for non-redundant statistical dependency rules using different measure functions and two different notions of redundancy. In practice, dependency rules are similar to association rules, but they always express a statistical dependency and there is no requirement for minimum frequency. For redundancy, I have used two definitions:

  1. Classical definition: X -> A is non-redundant with measure M, if all more general rules Y -> A (Y is a subset of X) have M(Y -> A)<=M(X -> A).
  2. Strict definition: X -> A is non-redundant with measure M, if all subsets of XA can produce only poorer rules, i.e. for all YB, which is a subset of XA, M(Y -> B)<=M(X -> A).

The packages contain C-source codes and instructions how to use and modify the programs (README file). All programs are written for Linux and gcc compiler. They may work in other environments, but nothing is guaranteed, and I cannot help you with any windows-specific problems.