Titlebook: Data Engineering and Management; Second International Rajkumar Kannan,Frederic Andres Conference proceedings 2012 Springer-Verlag GmbH Berl

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An Adaptive Image Retrieval System with Relevance Feedback and Clusteringiques are used to reduce the time complexity of the system. The system uses three-layered neural network to train the system using image clusters as training dataset by a supervised approach. Also after taking the feedback from the user, the image clusters are re-clustered by rearranging the images

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https://doi.org/10.1007/978-3-319-22753-5wledge sources. Moreover, Cyber Brain paid more attentions to provide one stop service and ubiquitous personalized knowledge service. This paper overviews some key technologies and methodologies emerging in knowledge engineering, ontology engineering, language engineering, including knowledge proces

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https://doi.org/10.1007/978-3-662-26537-6uency, along with the size, of the view to select Top-K views for materialization. The proposed algorithm, in each iteration, computes the profit, defined in terms of size and query frequency, and then selects the most profitable view for materialization. As a result, the views selected are benefici

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Overview of Hardware and Softwareiques are used to reduce the time complexity of the system. The system uses three-layered neural network to train the system using image clusters as training dataset by a supervised approach. Also after taking the feedback from the user, the image clusters are re-clustered by rearranging the images

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Ana Paula Relvas,Luciana Soteroanalysis patterns in dimensional data modeling is given no attention to in literature and in practice. This paper will overcome this gap in building data warehouse systems by introducing analysis patterns for dimensional data models which address well known and recurring problems in specific context

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