Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...
Abstract. Given two datasets DA and DB the closest-pair query (CPQ) retrieves the pair (a,b), where a ∈ DA and b ∈ DB, having the smallest distance between all pairs of objects...
Apostolos N. Papadopoulos, Alexandros Nanopoulos, ...
Binary search tree (BST) based data structures, such as AVL trees, red-black trees, and splay trees, are often used in system software, such as operating system kernels. Choosing ...
Abstract. In this paper, we propose a novel mining task: mining frequent superset from the database of itemsets that is useful in bioinformatics, e-learning systems, jobshop schedu...
Abstract. Multicast is an effective means for conducting the cooperative P2P communications. This paper studies an algorithm to construct a scalable and efficient end host multica...