In this study, we tackle the issue of application collusion, which involves multiple apps working together to achieve malicious goals that they couldn’t achieve individually. The current security model of Android, wh...
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In this paper, we apply TDT technology to the vertical search engine in the financial field. The returned results are grouped into several topics with the stock as the unit. Then we show the topics to the users in tim...
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This paper treat the query sentence as common sentence segmented from multi-documents set for multi-document summarization, and mixed it into sentences set, then this paper create efficient cluster algorithm to cluste...
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In order to detect sensitive images, a content-based detection method using image retrieval technology is proposed in this paper. The method utilizes color correlogram and Gabor wavelet transformation to extract color...
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Federated Learning (FL) has attracted much attention in recent years as a promising framework of privacy-preserving and scalability. However, the framework is highly vulnerable to data heterogeneity, which widely exis...
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In this paper, we streamline the Grassmann multivariate time sequence (MTS) clustering for state-space dynamical modelling into three umbrella approaches: (i) Intrinsic approach where clustering is entirely constraine...
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Wireless sensor networks (WSNs) are mainly used for systematic gathering of useful information and for the transmission of the gathered data to the base station for further processing. Despite the innumerable applicat...
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In order to prolong network life, improve network throughput and reduce energy consumption within the network of WSN, a multi-hop routing algorithm for WSN based on non-uniform clustering is proposed in this paper. Th...
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Tax sources category management is an important part in the tax administration. An important part of tax sources category is efficiency and rationality. An improved fuzzy clustering method used in tax sources classifi...
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ISBN:
(纸本)9781849195058
Tax sources category management is an important part in the tax administration. An important part of tax sources category is efficiency and rationality. An improved fuzzy clustering method used in tax sources classification is presented in this paper. This algorithm solves the disadvantage of losing information generated by hard classification of traditional clustering methods. The intrinsic characteristics between individuals can be revealed from a large number of tax-related data. The problem of focused management, clear management objectives and optimize resource allocation can be well resolved after taxpayers classified into different clusters. The experimental result also shows that the new improved fuzzy C means clustering algorithm combining with Parzen window estimation can resolve the initial central issue in original algorithm and reduce the clustering iterations.
A novel underwater target recognition approach has been developed based on the use of Wigner-type Time-Frequency (TF) analysis and the elliptical Gustafson-Kessel (GK) clustering algorithm. This method is implemented ...
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