The paper proposes a novel distributed service discovery method for the pervasive computing environment. The method is based on the concept of small world, policy-based advertiseme...
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
In this paper we present a method to represent knowledge associated with a course. Course knowledge can be represented in the form of hierarchical prerequisite relation based weigh...
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...