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Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications by Garg, Lalit;Pani, Subhendu Kumar;Singh, Sanjay Kumar is a nonfiction available to read on EtoBox.

What is Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications about?

"Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. The aim of data analytics is to prevent threats before they happen using classical statistical issues, machine learning, artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods on various data sources, including social media, GPS devices, video feed from street cameras; and license plate readers, travel and credit card records and the news media, as well as government and proprietary systems. Intelligent data analytics ensures efficient data mining techniques to solve criminal investigations. Prediction of future terrorist attacks according to city, type of attack, target and weapon, claim mode, and motive for attack through classification techniques will facilitate the decision-making process of security organizations so as to learn from previously stored attack information; and then rate the targeted sectors/areas accordingly for security

Who reads Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications?

Author

Garg, Lalit;Pani, Subhendu Kumar;Singh, Sanjay Kumar

Publisher

Wiley & Sons, Limited, John

Published

2021

Language

EN

ISBN

9781119711629

Category

nonfiction