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Titlebook: Web Information Systems and Mining; International Confer Zhiguo Gong,Xiangfeng Luo,Fu Lee Wang Conference proceedings 2011 Springer-Verlag

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Text Clustering Based on LSA-HGSOMdvantages for clustering sizeable text data. However, current existing approaches lack in providing an adaptive hierarchical structure within in a single model. This paper presents a new method of hierarchical text clustering based on combination of latent semantic analysis (LSA) and hierarchical GS
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Design Pattern Modeling and Implementation Based on MDAonly the modeling granularity but also the reusability of model transformation rule we apply the design pattern into MDA. In this paper, firstly, a modeling approach based on role is presented. In this way, the pattern model and the transformation rule can be defined respectively. Secondly, two exte
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Design Pattern Modeling and Implementation Based on MDAonly the modeling granularity but also the reusability of model transformation rule we apply the design pattern into MDA. In this paper, firstly, a modeling approach based on role is presented. In this way, the pattern model and the transformation rule can be defined respectively. Secondly, two exte
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A Comprehensive Reputation Computation Model Based on Fuzzy Regression Method of Cross-Domain Users comprehensive reputation based on fuzzy regression is proposed in this paper to supply uniform reputation evaluation method which is the base of collaboration of cross-domain users. The model builds up user’s reputation vector of single domain, and the vectors are combined according to weighting co
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End-to-End Resources Planning Based on Internet of Servicenal parties. EERP (End-to-End Resources Planning) as the up to date requirement in the enterprise information field is presented in this paper. The relevant technologies about internet of service to realize EERP have been researched in detail. An approach based on value-aware service engineering and
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A TV Commercial Detection Systemf known commercials that are stored in a database, and accurate recognition of unknown ones that appear for the first time in TV streaming. In this paper, we present the framework of a TV commercial detection system.
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