This paper views clusterings as elements of a lattice. Distances between clusterings are analyzed in their relationship to the lattice. From this vantage point, we first give an a...
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
This paper explores the potential impact of collaborative technologies on improving management education. The first goal is to expose students to tools and practices that not only...
In order to efficiently manage and use of the information on the Web it becomes crucial to provide personalization not only within single systems, but across various web applicati...