In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Peer-to-peer systems offer an efficient means for sharing data among autonomous nodes. A central issue is locating the nodes with data matching a user query. A decentralized solut...
The National Cancer Institute has collected a large database of uterine cervix images, termed “cervigrams” for cervical cancer screening research. Tissues of interest within t...
Complementary security systems are widely deployed in networks to protect digital assets. Alert correlation is essential to understanding the security threats and taking appropria...