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Type: BOOK - Published: 2017-11-18 - Publisher: Springer
This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large
Language: en
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Type: BOOK - Published: 2019-10-10 - Publisher: Apress
Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python,
Language: en
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Type: BOOK - Published: 2016-12-10 - Publisher: Springer
This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machin
Language: en
Pages: 318
Pages: 318
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
This is a pioneering work on the emerging field of artificial immune systems-highly distributed systems based on the principles of the natural system. Like arti
Language: en
Pages: 288
Pages: 288
Type: BOOK - Published: 2017-04-06 - Publisher: Springer
This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In a