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Intelligent Data Analytics for Terror Threat Prediction Architectures Methodologies Techniques Applications New Release 2026/2027 Academic Year
Discover cutting-edge strategies in Intelligent Data Analytics for Terror Threat Prediction with this comprehensive academic resource. This newly released guide for the 2026/2027 academic year explores advanced architectures, methodologies, and techniques edited by Subhendu Kumar Pani, Sanjay Kumar Singh, Lalit Garg, Ram Bilas Pachori, and Xiaobo Zhang. Topics include rumor detection in social media, IoT security frameworks, big data analytics for crime prediction, GIS applications in military strategy, text mining for cyber safety, AI-driven crime pattern recognition, biometric surveillance systems, botnet behavior analysis, and cryptanalysis of biometric frameworks. Essential reading for students and professionals in cybersecurity, data science, and national defense.
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