Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
Data prefetching technique is widely used to bridge the growing performance gap between processor and memory. Numerous prefetching techniques have been proposed to exploit data pa...
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
A variety of real-world applications share the property that data arrives in form of transient streams. Data stream management systems (DSMS) provide convenient solutions to the p...