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Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;

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Traffic Anomaly Detection

Traffic Anomaly Detection presents an overview of traffic anomaly detection analysis,allowing youto monitor security aspects;

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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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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The;

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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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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 and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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Network Anomaly Detection

, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or;

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Anomaly Detection System for Network Traffic using Data Mining

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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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Beginning Anomaly Detection Using Python-Based Deep Learning

Beg-Int user level;...

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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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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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Anomaly Detection

of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase;

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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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Applied Unsupervised Learning with R

, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how;

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Climatology

mechanisms behind the Houston cloud-to-ground lightning anomaly; the effects of heat stress on beef cattle production; the detection of five-day to;

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Machine Learning with the Elastic Stack

embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform;

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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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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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Practical Data Science with Hadoop and Spark

, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language;

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