| Bay, S.D., Multivariate Discretization for Set Mining. Knowledge and Information Systems, 2001. 3(4): p. 491-512. |
.... trees, where the goal is to find attribute value pairs with high predictive power; association rules where the goal is to find relations between itemsets; contrast sets where the goal is to find all sets that represent large differences in the probability distributions of two or more groups [41, 42]. Each of these techniques are useful for specific applications within data mining. However further research is required to compare their relative abilities of these data mining methods for deriving interesting information. 19 Chapter 3: Methodology This chapter will examine the methodology to ....
Bay, S.D., Multivariate Discretization for Set Mining. Knowledge and Information Systems, 2001. 3(4): p. 491-512.
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