Feature Extraction, Construction and Selection: A Data Mining Perspective

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8,58 MB
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Feature Extraction, Construction and Selection: A Data Mining Perspective.pdf
DATE DE PUBLICATION
2001-Jan-01
ISBN
9780792381969
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Téléchargez la version électronique de Feature Extraction, Construction and Selection: A Data Mining Perspective sur coachingcorona.ch. Formats disponibles : Feature Extraction, Construction and Selection: A Data Mining Perspective PDF, Feature Extraction, Construction and Selection: A Data Mining Perspective ePUB, Feature Extraction, Construction and Selection: A Data Mining Perspective MOBI
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Feature Extraction, Construction and Selection: a data mining perspective Fold Unfold. Table of Contents. Less is more (Liu, and Motoda) Feature weighting for lazy learning algorithms (Aha) The Wrapper Approach (Kohavi, and John) Discussion. Reference bibTeX entry. Less is more (Liu, and Motoda) The first chapter assumes the reader already acknowledges the importance of feature extraction ...

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of ...

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