With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only ess...
Murali Vilayannur, Mahmut T. Kandemir, Anand Sivas...
Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains mo...
Appropriate clustering of objects into pages in secondary memory is crucial to achieving good performance in a persistent object store. We present a new approach, termed semantic ...
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...