Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Abstract—We propose a strategy to perform query processing on P2P similarity search systems based on peers and superpeers. We show that by approximating global but resumed inform...
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...