this paper proposes a spatial index structure based on a new space-partitioning method. Previous research proposed various high dimensional index structures. However, when dimensionality becomes high, the effectivenes...
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Locating and classifying partial discharge due to sharp-edges, polluted insulators and loose-contacts in power systems significantly reduce the outage time, impending failure, equipment damage and supply interruption....
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Mobile mining is about finding useful knowledge from the raw data produced by mobile users. the mobile environment consists of a set of static device and mobile device. Previous works in mobile data mining include fin...
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Modular exponentiation is one of the most important operations in the almost all nowadays cryptosystems. It is performed using a series of modular multiplications. the latter operation is time consuming for large oper...
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the MOGA is used as automatic calibration method for a wide range of water and environmental simulation models. the task of estimating the entire Pareto set requires a large number of fitness evaluations in a standard...
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In this paper we focus on the organisation of web contents, which allows efficient browsing, searching and discovery. We propose a method that dynamically creates such a structure called Topological Tree. the tree is ...
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In this paper, we focus on the problem of finding frequent subtrees in a large collection of XML data, where both of the patterns and the data are modeled by labeled ordered trees. We present an efficient algorithm RS...
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A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. this technique tunes the mean vector and diagonal covariance matrix of individual regress...
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Trust plays an important role in making collaborative decisions, so the trust problem in P2P networks has become a focus of research. In this paper, a fuzz set based model is proposed for building trust and reputation...
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A novel hybrid genetic algorithm(GA)/Support Vector Machine (SVM) system, which selects features from the protein sequences and trains the SVM classifier simultaneously using a multi-objective genetic algorithm, is pr...
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