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Sliding-window multi-stream join (SWMJ) is a fundamental operation for correlating information from different streams. We provide a solution to the problem of assessing significance of the SWMJ result by focusing on the relative frequency of windows satisfying a given equijoin predicate as the most important parameter of the SWMJ result. In particular, we derive an analytic formula for computing the...
Discovering significant patterns in synchronized multi-stream sequences also known as multi-attribute event sequences (multi-sequences), is an important problem in many domains, including monitoring systems and information retrieval. In this paper we propose a new approach for assessing significance of multi-stream patterns in multi-attribute event sequences. In experiments on physiological multi-stream...
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunication. Many real-life sequences have a strong segmental structure, with segments of different complexities. In this paper we study the description of sequence segments using variable length Markov chains (VLMCs), also known as tree models. We discover the segment boundaries of a sequence...
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