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    Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition

Urszula Stańczyk
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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.
      Format: Hardback CONTRIBUTORS: Urszula Stańczyk EAN: 9783319675879 COUNTRY: Switzerland PAGES: WEIGHT: 6447 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2017-11-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Data Analytics WIDTH: 155 cm SPINE:

      Book Themes:

      Data mining, Pattern recognition

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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.
      Format: Hardback CONTRIBUTORS: Urszula Stańczyk EAN: 9783319675879 COUNTRY: Switzerland PAGES: WEIGHT: 6447 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2017-11-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Data Analytics WIDTH: 155 cm SPINE:

      Book Themes:

      Data mining, Pattern recognition

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      Be the first to write a review
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