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Advances in Feature Selection for Data and Pattern Recognition

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Advances in Feature Selection for Data and Pattern Recognition Lakhmi C. Jain
Libristo kod: 21376202
Nakladnici Springer International Publishing AG, rujan 2018
This book presents recent developments and research trends in the field of feature selection for dat... Cijeli opis
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102.78 €
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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 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 analysing 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.

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Informacije o knjizi

Puni naziv Advances in Feature Selection for Data and Pattern Recognition
Autor Lakhmi C. Jain, Urszula Stanczyk, Beata Zielosko
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2018
Broj stranica 328
EAN 9783319884523
Libristo kod 21376202
Nakladnici Springer International Publishing AG
Težina 534
Dimenzije 155 x 235 x 19

Kategorija

Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Databases > Data mining
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