Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasi...

Detecting association rules with low support but high confidence is a difficult data mining problem. To find such rules using approaches like the Apri...

This paper presents the incremental clustering algorithm, XML documents Clustering with Level Similarity (XCLS), that groups the XMLdocuments accordin...

Although much work has been done on duplicate document detection (DDD) and its applications, we observe the absence of a systematic study on the perfo...

A parallel randomized support vector machine (PRSVM) and a parallel randomized support vector regression (PRSVR) algorithm based on a randomized sampl...