Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Many of the modern networks used to interconnect nodes in cluster-based computing systems provide network interface cards (NICs) that offer programmable processors. Substantial re...
Adam Wagner, Hyun-Wook Jin, Dhabaleswar K. Panda, ...
This paper presents a distributed object model MOIDE for solving irregularly structured problems on cluster. The primary appeal of MOIDE is its flexible system structure that is a...
We examine the set covering machine when it uses data-dependent half-spaces for its set of features and bound its generalization error in terms of the number of training errors an...
Mario Marchand, Mohak Shah, John Shawe-Taylor, Mar...