Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Abstract. In ad hoc sensor networks, sensor nodes have very limited energy resources, thus energy consuming operations such as data collection, transmission and reception must be k...
Xiaoling Wu, Shu Lei, Jie Yang, Hui Xu, Jinsung Ch...
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...