Intelligent Data Analytics for Terror Threat Prediction
Architectures, Methodologies, Techniques, and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Intelligent Data Analytics for Terror Threat Prediction
Architectures, Methodologies, Techniques, and Applications
About this book
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.
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Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Copyright
- Preface
- 1 Rumor Detection and Tracing its Source to Prevent Cyber-Crimes on Social Media
- 2 Internet of Things (IoT) and Machine to Machine (M2M) Communication Techniques for Cyber Crime Prediction
- 3 Crime Predictive Model Using Big Data Analytics
- 4 The Role of Remote Sensing and GIS in Military Strategy to Prevent Terror Attacks
- 5 Text Mining for Secure Cyber Space
- 6 Analyses on Artificial Intelligence Framework to Detect Crime Pattern
- 7 A Biometric Technology-Based Framework for Tackling and Preventing Crimes
- 8 Rule-Based Approach for Botnet Behavior Analysis
- 9 Securing Biometric Framework with Cryptanalysis
- 10 The Role of Big Data Analysis in Increasing the Crime Prediction and Prevention Rates
- 11 Crime Pattern Detection Using Data Mining
- 12 Attacks and Security Measures in Wireless Sensor Network
- 13 Large Sensing Data Flows Using Cryptic Techniques
- 14 Cyber-Crime Prevention Methodology
- Index
- End User License Agreement