We survey the literature devoted to the study of the problem of allocating an infinitely divisible commodity among agents whose preferences are single-peaked. We formulate a number of normative and strategic requirements on rules, and study their implications when imposed in various combinations. A unique rule emerges as being the best-behaved from a variety of viewpoints: the uniform rule. Key...

Association Rule mining is one of the most popular data mining techniques which can be defined as extracting the interesting correlation and relation among large volume of transactions. E-commerce applications generate huge amount of operational and behavioral data. Applying association rule mining in e-commerce application can unearth the hidden knowledge from these data. In this paper a surve...

A description is given of an experimental study, the aims of which were to test the feasibility of conducting a multiplicity survey for marriages and births in Israel and to evaluate different cclunting rules. The study included an evaluation survey from which estimates of the components of mean square error were obtained. The results indicate that an overall reduction of mean square error was ...

This paper is a survey of fuzzy set theory applied in cluster analysis. These fuzzy clustering algorithms have been widely studied and applied in a variety of substantive areas. They also become the major techniques in cluster analysis. In this paper, we give a survey of fuzzy clustering in three categories. The first category is the fuzzy clustering based on fuzzy relation. The second one is t...