000			05554cam a22006018i 4500
001			on1230253907
003			OCoLC
005			20220711203637.0
006			m o d
007			cr |||||||||||
008			210106s2021 nju ob 001 0 eng
010			_a 2021000197
040			_aDLC _beng _erda _cDLC _dOCLCO _dDG1 _dUKAHL _dOCLCF
020			_a9781119711629 _q(electronic bk. : oBook)
020			_a1119711622 _q(electronic bk. : oBook)
020			_a9781119711513 _q(epub)
020			_a1119711517 _q(epub)
020			_a9781119711612 _q(adobe pdf)
020			_a1119711614 _q(adobe pdf)
020			_z9781119711094 _q(paperback)
035			_a(OCoLC)1230253907
042			_apcc
050	0	0	_aHV6431
082	0	0	_a363.325/1702856312 _223
049			_aMAIN
245	0	0	_aIntelligent data analytics for terror threat prediction : _barchitectures, methodologies, techniques and applications / _cSubhendu Kumar Pani, Sanjay Kumar Singh, Lalit Garg, Ram Bilas Pachori, Xiaobo Zhang.
250			_aFirst edition.
263			_a2104
264		1	_aHoboken : _bWiley, _c2021.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"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 measures. By using intelligent data analytics models with multiple levels of representation, raw to higher abstract level representation can be learned at each level of the system. Algorithms based on intelligent data analytics have demonstrated great performance in a variety of areas, including data visualization, data pre-processing (fusion, editing, transformation, filtering, and sampling), data engineering, database mining techniques, tools and applications, etc"-- _cProvided by publisher.
505	0		_aRumor Detection and Tracing its Source to Prevent Cyber-Crimes on Social Media / Ravi Kishore Devarapalli, Anupam Biswas -- Internet of Things (IoT) and Machine to Machine (M2M) Communication Techniques for Cyber Crime Prediction / Jaiprakash Narain Dwivedi -- Crime Predictive Model Using Big Data Analytics / Hemanta Kumar Bhuyan, Subhendu Kumar Pani -- The Role of Remote Sensing and GIS in Military Strategy to Prevent Terror Attacks / Sushobhan Majumdar -- Text Mining for Secure Cyber Space / Supriya Raheja, Geetika Munjal -- Analyses on Artificial Intelligence Framework to Detect Crime Pattern / R Arshath Raja, N Yuvaraj, NV Kousik -- A Biometric Technology-Based Framework for Tackling and Preventing Crimes / Ebrahim AM Alrahawe, Vikas T Humbe, GN Shinde -- Rule-Based Approach for Botnet Behavior Analysis / Supriya Raheja, Geetika Munjal, Jyoti Jangra, Rakesh Garg -- Securing Biometric Framework with Cryptanalysis / Abhishek Goel, Siddharth Gautam, Nitin Tyagi, Nikhil Sharma, Martin Sagayam -- The Role of Big Data Analysis in Increasing the Crime Prediction and Prevention Rates / Galal A AL-Rummana, Abdulrazzaq H A Al-Ahdal, GN Shinde -- Crime Pattern Detection Using Data Mining / Dipalika Das, Maya Nayak -- Attacks and Security Measures in Wireless Sensor Network / Nikhil Sharma, Ila Kaushik, Vikash Kumar Agarwal, Bharat Bhushan, Aditya Khamparia -- Large Sensing Data Flows Using Cryptic Techniques / Hemanta Kumar Bhuyan -- Cyber-Crime Prevention Methodology / Chandra Sekhar Biswal, Subhendu Kumar Pani.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
590			_bWiley Frontlist Obook All English 2021
650		0	_aTerrorism _xPrevention. _99572
650		0	_aComputer networks. _93740
650		0	_aData mining. _93907
650		7	_aComputer networks. _2fast _0(OCoLC)fst00872297 _93740
650		7	_aData mining. _2fast _0(OCoLC)fst00887946 _93907
650		7	_aTerrorism _xPrevention. _2fast _0(OCoLC)fst01148123 _99572
655		4	_aElectronic books. _93294
700	1		_aPani, Subhendu Kumar, _d1980- _eeditor. _99573
700	1		_aSingh, Sanjay Kumar, _d1963- _eeditor. _99574
700	1		_aGarg, Lalit, _d1977- _eeditor. _99575
776	0	8	_iPrint version: _tIntelligent data analytics for terror threat prediction _bFirst edition. _dHoboken : Wiley, 2021. _z9781119711094 _w(DLC) 2021000196
856	4	0	_uhttps://doi.org/10.1002/9781119711629 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69439 _d69439