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 Imbalanced Learning: Foundations, Algorithms, and Applications
The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning
Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in... |  |  Compression Schemes for Mining Large Datasets: A Machine Learning Perspective
This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and time, while... |  |  Mastering Apple Aperture
Apple Aperture is one of the leading photo editing software packages available in today’s market. It provides you with all the tools to organize, browse, and perfect your images, so you can make every shot your best shot.
Mastering Apple Aperture aims to teach you the skills and knowledge necessary to become a master of the... |
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