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Anomaly Detection as a Service

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical;

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Anomaly Detection as a Service

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical;

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Finding Ghosts in Your Data

program computers to automate the process. Yoüll develop your own anomaly detection service, extend it using a variety of techniques such as;

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Finding Ghosts in Your Data

program computers to automate the process. You'll develop your own anomaly detection service, extend it using a variety of techniques such as;

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Beginning Anomaly Detection Using Python-Based Deep Learning

anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment;

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Traffic Anomaly Detection

"typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis)

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Anomaly Detection

usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and;

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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

systems. Anomaly detection can be considered from two perspectives: abnormal events can be defined as those that violate typical activities or as;

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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be;

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Practical Machine Learning - A New Look at Anomaly Detection

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large;

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Applied Cloud Deep Semantic Recognition

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim;

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Network Anomaly Detection

security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;

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Spatio Temporal Anomaly Detector

Network anomalies occur in all sorts of networks, And as internet is growing more and more the intrusion detection mechanism are becoming;

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MAD Cats The Story of VP-63

Magnetic Anomaly Detection (MAD) systems that allowed them to locate and attack submerged submarines. The VP-63 Patrol Wing played a crucial role;

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Recent Advances in Intrusion Detection

papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis;

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Anomaly Detection System for Network Traffic using Data Mining

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Beginning Anomaly Detection Using Python-Based Deep Learning

Beg-Int user level;...

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Applied Unsupervised Learning with R

data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods;

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Machine Learning with the Elastic Stack

features Understand how Elastic machine learning is used to detect a variety of anomaly types Apply effective anomaly detection to IT operations;

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Algorithms, Methods, and Applications in Mobile Computing and Communications

service applicability, mobile money transfer services and anomaly detection, and mobile fog environments. As a resource rich in information about;

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The Tokens of Esteem

include decentralized monitoring and anomaly detection, management components and multi-domain management, and the future of SNMP-based management.;

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Pattern Recognition

; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial;

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Pattern Recognition

; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial;

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Conformal Prediction for Reliable Machine Learning

detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings;

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