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Books > Computing & IT > Computer communications & networking > Network security
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Applied Cloud Deep Semantic Recognition - Advanced Anomaly Detection (Paperback)
Loot Price: R1,378
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Applied Cloud Deep Semantic Recognition - Advanced Anomaly Detection (Paperback)
Expected to ship within 10 - 15 working days
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This book provides a comprehensive overview of the research on
anomaly detection with respect to context and situational awareness
that aim to get a better understanding of how context information
influences anomaly detection. In each chapter, it identifies
advanced anomaly detection and key assumptions, which are used by
the model to differentiate between normal and anomalous behavior.
When applying a given model to a particular application, the
assumptions can be used as guidelines to assess the effectiveness
of the model in that domain. Each chapter provides an advanced deep
content understanding and anomaly detection algorithm, and then
shows how the proposed approach is deviating of the basic
techniques. Further, for each chapter, it describes the advantages
and disadvantages of the algorithm. The final chapters provide a
discussion on the computational complexity of the models and graph
computational frameworks such as Google Tensorflow and H2O because
it is an important issue in real application domains. This book
provides a better understanding of the different directions in
which research has been done on deep semantic analysis and
situational assessment using deep learning for anomalous detection,
and how methods developed in one area can be applied in
applications in other domains. This book seeks to provide both
cyber analytics practitioners and researchers an up-to-date and
advanced knowledge in cloud based frameworks for deep semantic
analysis and advanced anomaly detection using cognitive and
artificial intelligence (AI) models.
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