There has been tremendous growth in electronic commerce over the past few years. This growth is expected to sustain momentum in the future. Hence, the Internet has become an essent...
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
The need for service providers to offer SLAs to gain consumers confidence has become increasingly apparent. Our work focuses on providers who manage the execution of long-running d...
Daniel Spaven, Madhavi Rani, Sumit Kumar Bose, Mik...
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
Michal Lewandowski, Jesus Martinez-Del-Rincon, Dim...
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...