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Advances in Feature Selection for Data and Pattern Recognition

Urszula Stanczyk

Beata Zielosko

Lakhmi C. Jain

Jazyk

Angličtina

Kniha Pevná

Libristo kód: 17963698

Nakladateľstvo Springer International Publishing AG, november 2017

This book presents recent developments and research trends in the field of feature selection for dat... Celý popis

Libristo kód: 17963698

249 b

102.97 €

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This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of recent 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 analyzing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts - nature and representation of data; ranking and exploration 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, professors and practitioners.