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Titlebook: Web Engineering; Emilia Mendes,Nile Mosley Textbook 2006 Springer-Verlag Berlin Heidelberg 2006 Benchmarking.design.development.management

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Emilia Mendes,Barbara Kitchenhamtimal feature subset with smaller size and higher classification accuracy from high-dimensional data. In this paper, a new approach for feature selection using multi-objective optimization algorithm with improved neighborhood rough sets is proposed. Firstly, the improved neighborhood positive region
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Emilia Mendes,Barbara Kitchenham However, the current public datasets for composite activities are limited in the variety of activities and the number of subjects they include, which hinders a thorough and complete assessment of activity identification methodologies. Regarding these problems, this paper proposes a publicly availab
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Giuseppe A. Di Lucca,Anna Rita Fasolinoart from contingency tables for pairs of attributes whose domains are ordered. The domain of each attribute can be interpreted as a preference list. We present a common 2-d pattern that can be collectively called preference relation. Preference relation tells that one of the choices is accepted to a
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