Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
Constructing Haar wavelet synopses under a given approximation error has many real world applications. In this paper, we take a novel approach towards constructing unrestricted Ha...
Chaoyi Pang, Qing Zhang, David P. Hansen, Anthony ...
Matching regular expressions (regexps) is a very common workload. For example, tokenization, which consists of recognizing words or keywords in a character stream, appears in ever...
Analyzing and controlling large distributed services under a wide range of conditions is difficult. Yet these capabilities are essential to a number of important development and o...
David L. Oppenheimer, Vitaliy Vatkovskiy, Hakim We...