000			02663nam a2200265 4500
005			20250801162211.0
008			250801b2021|||||||| |||| 00| 0 eng d
020			_a9781119711612
041			_aEnglish
082			_a363.3251702
100			_aPani, Subhendu Kumar _eEditor _97018
100			_aSingh, Sanjay Kumar _eCo-Editor _97019
100			_aGarg, Lalit _eCo-Editor _97020
100			_aPachori, Ram Bilas _eCo-Editor _97021
100			_aZhang, Xiaobo _eCo-Editor _97022
245			_aIntelligent data analytics for terror threat prediction: architectures, methodologies, techniques, and applications
260			_aNew Jersey: _bWiley Data and Cybersecurity, _c2021.
300			_axix, 319p.
500			_aIntelligent 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.
650			_a Internet of Things (IoT) and Machine to Machine (M2M) Communication Techniques _97023
650			_aCrime Predictive Model Using Big Data Analytics _97024
650			_aText Mining for Secure Cyber Space _97025
856			_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=9820898
942			_cEB
999			_c1735 _d1735