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The central time series crystallizes the common patterns of the set it represents. In this paper, we propose a global constrained degree-pruning dynamic programming (${g}$ (dp)$^{2}$ ) approach to obtain the central time series through minimizing dynamic time warping (DTW) distance between two time series. The DTW matching path theory with global constraints is proved theoretically for our degree-pruning...
With the rapid development of industry, every day there are huge amounts of industrial data in this process, there will be part of the data is duplicated, and it not only reduces the data quality in a certain extent, but also affects the enterprise to make a right decision, thereby reducing The productivity. In order to improve the quality of data, it's particularly important to clean the similar...
Retrieving similar data has drawn many research efforts in the literature due to its importance in data mining, database and information retrieval. This problem is challenging when the data is incomplete. In previous research, data incompleteness refers to the fact that data values for some dimensions are unknown. However, in many practical applications (e.g., data collection by sensor network under...
One difficulty of automated test case generation is to deal with compositional units that brings in compositional space explosion of program states. We present a new dynamic execution framework which analyzes program behaviors dynamically for automatic test inputs generation. We utilize forward slicing to explore those functions affecting conditional predicates in program under test.The functions...
Ad hoc network does not depend on any fixed infrastructure, and its main features are no central structure and the rapid dynamic change. This paper presents the enhanced maximum stability weighted clustering algorithm (EMSWCA), based on the WCA and the MSWCA algorithm. The EMSWCA explicitly identifies the maximum load parameters of clusters, accelerates the convergence speed, and provide a certain...
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