Nowadays, most of the clustering methods are studied towards the onefold attribute type, such as numerical attribute, character attribute etc. Therefore, it needs to develop the clustering method which could deal with...
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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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K-means clustering is a popular conventional clustering algorithm. As it does not use the structure information of data sets, sometime the clustering result will be dissatisfied. Manifold learning algorithms can revea...
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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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Membrane computing has been applied in broad fields such as Biological modeling, NPC problems and combinatorial problems. It has great parallelism and non-determinacy. In this paper, a new variety of P system with cha...
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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 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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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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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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