Applied Cloud Deep Semantic Recognition

Name: Applied Cloud Deep Semantic Recognition
Brand: Taylor & Francis Ltd
SKU: 9781138302228
Price: 1007.52 RON
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Autor: Mehdi Roopaei, Peyman Najafirad

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Editura: Taylor & Francis Ltd

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This book provides a comprehensive overview of the research on anomaly detection with respect to con...

Informații despre carte

Autor

Mehdi Roopaei, Peyman Najafirad

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2018

Pagini

188

EAN

9781138302228

ISBN

9781138302228

Enbook ID

18378814

Editura

Taylor & Francis Ltd

Greutate

538

Dimensiuni

261 x 234 x 17

Descriere completă

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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