Titlebook: Advances in Feature Selection for Data and Pattern Recognition; Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain Book 2018 Springer Internat

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Hans Peter Latscha,Uli Kazmaierariables are assessed individually or as subsets, by some statistics referring to information theory, machine learning algorithms, or specialised procedures that execute systematic search through the feature space. The information about importance of attributes can be used in the pre-processing step

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Hans Peter Latscha,Uli Kazmaierpart of mining knowledge bases from a?knowledge engineer’s perspective (it is usually aimed at completeness analysis, consistency of the knowledge base and detection of redundancy and unusual rules) as well as from a?domain expert’s point of view (domain expert intends to explore the rules with rega

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https://doi.org/10.1007/978-3-662-52821-1n. A finite planar shape is planar region with a boundary (shape contour) and a nonempty interior (shape surface). The focus here is on the triangulation of image object shapes, resulting in maximal nerve complexes (MNCs)from which shape contours and shape interiors can be detected and described. An

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https://doi.org/10.1007/978-3-662-52821-1m (TCL) based on tolerance near sets was first proposed. In the tolerance near set method(TNS), tolerance classes are directly induced from the data set using a tolerance level and a distance function. The TNS method lends itself to applications where features are real-valued such as image data, aud

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Dirk Flottmann,Detlev Forst,Helmut Ro?wagery ventilation or air conditioning for energy cost minimization. It includes a review and explanation of the existing methodology and smart management system. A suggested matrix-like grid that includes methods for achieving the expected minimization goals is also presented. Common techniques are li

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