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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Detlev Forst,Maximilian Kolb,Helmut Ro?wag are described. Next, visualization techniques used for the implemented interactive system are presented. The experimental results on the customer dataset illustrate the correlation between classification features and the decision feature called “Promoter Score” and how these help to understand changes in customer sentiment.

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Book 2018tion of?features; image, shape, motion, and audio detection and recognition; decision support?systems, it is of great interest to a large section of researchers including students,?professorsand practitioners..

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Hans Peter Latscha,Uli Kazmaiernstructed classifiers. The chapter describes research on the latter approach, involving filtering inferred decision rules while exploiting ranking positions and scores of features. The optimised rule classifiers were applied in the domain of stylometric analysis of texts for the task of binary authorship attribution.

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https://doi.org/10.1007/978-3-662-52821-1io and video signal data. Extensive experimentation with different audio-video data sets were performed to provide insights into the strengths and weaknesses of the TCL algorithm compared to granular (fuzzy and rough) and classical machine learning algorithms.

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Book 2018f latest advances..The field of feature selection is evolving constantly, providing numerous new?algorithms, new solutions, and new applications. Some of the advances presented?focus on theoretical approaches, introducing novel propositions highlighting and?discussing properties of objects, and anal