We consider the problem of wide-area large-scale text search over a peer-to-peer infrastructure. A wide-area search infrastructure with billions of documents and millions of searc...
Vijay Gopalakrishnan, Bobby Bhattacharjee, Peter J...
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
Rui Mao, Wenguo Liu, Daniel P. Miranker, Qasim Iqb...
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Efficiency of synchronization mechanisms can limit the parallel performance of many shared-memory applications. In addition, the ever increasing performance gap between processor...
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...