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Titlebook: Recent Advances in Information Systems and Technologies; Volume 1 Álvaro Rocha,Ana Maria Correia,Sandra Costanzo Conference proceedings 201

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Improving the Efficiency of the K-medoids Clustering Algorithm by Getting Initial Medoidsids. The generation of optimized initial medoids, which increases the efficiency and effectiveness of K-medoids is proposed. The initial medoids are obtained in two steps, in the first one the data are grouped with an efficient variant of algorithm K-means denominated Early Classification. In the se
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Artificial Neural Network for Incremental Data Miningation (IncA) proposed in previous work used in order to minimize processing time and explore new incoming data only. HC process use germinated infrequent items and generated frequent itemset to run correction according to predicted value. Experiments on datasets show that deviations are detected and
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A Survey of Security Assessment Ontologiests from the “Security Assessment” field of research. A preliminary analysis and a discussion on the selected works are presented. Our main contribution is an updated literature review, describing key characteristics, results, research issues, and application domains of the papers. We have also detec
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Detection of Troublesome Cases systematic way of detecting and consecutively overcoming difficulties caused by a need to apply multiple skills for solving join problems. Our suggestion to handle such troublesome cases is based on the binomial theorem and category scores.
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Selection of Information Sources Using a Genetic Algorithmen a selection and the query. Extensive experiments were performed on databases of scientific research documents covering different domains such as computer science and medicine. The results based on the precision measure are very encouraging.
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