Intelligent Data Analytics for Terror Threat Prediction Intelligent Data Analytics for Terror Threat Prediction

Intelligent Data Analytics for Terror Threat Prediction

Architectures, Methodologies, Techniques, and Applications

    • ¥29,800
    • ¥29,800

発行者による作品情報

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.

This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

ジャンル
コンピュータ/インターネット
発売日
2021年
1月12日
言語
EN
英語
ページ数
352
ページ
発行者
Wiley
販売元
John Wiley & Sons, Inc.
サイズ
4.5
MB
Cyber-Physical Systems Cyber-Physical Systems
2022年
Cyber Security and Digital Forensics Cyber Security and Digital Forensics
2022年
Convergence of Deep Learning in Cyber-IoT Systems and Security Convergence of Deep Learning in Cyber-IoT Systems and Security
2022年
Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS) Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS)
2020年
Trust, Security and Privacy for Big Data Trust, Security and Privacy for Big Data
2022年
Cyber Security and Network Security Cyber Security and Network Security
2022年
Augmented Reality and Sustainability Augmented Reality and Sustainability
2025年
Blockchain Technology in Healthcare - Concepts,Methodologies, and Applications Blockchain Technology in Healthcare - Concepts,Methodologies, and Applications
2023年
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
2022年
Applications of Machine Learning in Big-Data Analytics and Cloud Computing Applications of Machine Learning in Big-Data Analytics and Cloud Computing
2022年
Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics
2022年
Biomedical Data Mining for Information Retrieval Biomedical Data Mining for Information Retrieval
2021年