Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Abstract. A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c − 1 two-class problems and can be represented as a tree st...
Abstract-- Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficient processing of continuous skyline que...
Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Wang 001...
Geospatial data is often used to predict or recommend movements of robots, people, or animals ("walkers"). Analysis of such systems can be combinatorially explosive. Eac...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...