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Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used;
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Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level;
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. Highlighting a range of topics such as cybercrime, threat detection, and forensic science, this publication is an ideal reference source for security;
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-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system;
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-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system;
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data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal;
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Mathematical sciences play a key role in many important areas of Homeland Security including data mining and image analysis and voice;
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being effectively and responsibly employed. Written by one of the most respected consultants in the area of data mining and security, Data;
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This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to;
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analyzing data Details of the current legal implications for security surveillance and practices Advances;
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investigative process for private investigations by both individuals and in corporate security environments. This edition covers emerging technology;
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on cyber-criminal detection and prevention, describing digital forensics and cybercrime data mining, time prints for identifying social media;
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in Intelligence and Security Informatics (ISI) include data management, data and text mining for ISI applications, terrorism informatics, deception and;
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* Data preprocessing, cleaning, management and mining * Computer-aided detection * Big data analysis;
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machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.;
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machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.;
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machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.;
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The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;
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The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data;
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The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data;
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provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and;
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provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and;
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mining, gene mapping for disease detection, and phylogenetic knowledge discovery.;
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In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include;
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, terrorism and homeland security, electronic data searches, new case law, forensics and physical evidence, use of body cameras, and ethics as well as;
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techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link;
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in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining;
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