Abstract
The discovery of quantitative association rules in large databases is considered an interesting and important research problem. Recently, different aspects of the problem have been studied, and several algorithms have been presented in the literature, among others in (Srikant and Agrawal, 1996; Fukuda et al., 1996a; Fukuda et al., 1996b; Yoda et al., 1997; Miller and Yang, 1997). An aspect of the problem that has so far been ignored, is its computational complexity. In this paper, we study the computational complexity of mining quantitative association rules.
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