The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book explores data analytics techniques that military scientists and practitioners around the world are doing to achieve this. The book is organized around data analytics applications in the primary military domains of personnel, intelligence, operations, and logistics.
The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book explores data analytics techniques that military scientists and practitioners around the world are doing to achieve this. The book is organized around data analytics applications in the primary military domains of personnel, intelligence, operations, and logistics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Kevin Huggins, PhD, is professor of Computer Science and Data Analytics at Harrisburg University of Science and Technology, Harrisburg, Pennsylvania. He is also a retired military officer who spent the early part of his career in military intelligence, with extensive experience in Latin America. The remainder of his career was spent in academia, primarily as a faculty member in the Department of Electrical Engineering and Computer Science at the U.S. Military Academy. While there, Dr. Huggins served as the director of Research in Network Science as well as the director of the Information Technology Program. Additionally, Dr. Huggins was a visiting scientist at the École de Techniques Avancées in Paris, France, where he studied parallel algorithms for multiprocessor system-on-chip (MPSoC) architectures. His current research interest lies at the intersection of data science and information security, exploring novel ways of securing computing systems by leveraging the enormous amounts of available data. He holds a PhD in computer science from Mines Paris Tech.
Inhaltsangabe
1 Bayesian Networks for Descriptive Analytics in Military Equipment Applications 2 Network Modeling and Analysis of Data and Relationships: Developing Cyber and Complexity Science 3 Context for Maritime Situation Awareness 4 Harnessing Single Board Computers for Military Data Analytics 5 Data Analytics and Training Effectiveness Evaluation 6 Data Analytics for Electric Power and Energy Applications 7 The Evolution of Environmental Data Analytics in Military Operations 8 Autoregressive Bayesian Networks for Information Validation and Amendment in Military Applications 9 Developing Cyber-Personas from Syslog Files for Insider Threat Detection: A Feasibility Study 10 Analytics for Military Training in Virtual Reality Environments
1 Bayesian Networks for Descriptive Analytics in Military Equipment Applications 2 Network Modeling and Analysis of Data and Relationships: Developing Cyber and Complexity Science 3 Context for Maritime Situation Awareness 4 Harnessing Single Board Computers for Military Data Analytics 5 Data Analytics and Training Effectiveness Evaluation 6 Data Analytics for Electric Power and Energy Applications 7 The Evolution of Environmental Data Analytics in Military Operations 8 Autoregressive Bayesian Networks for Information Validation and Amendment in Military Applications 9 Developing Cyber-Personas from Syslog Files for Insider Threat Detection: A Feasibility Study 10 Analytics for Military Training in Virtual Reality Environments
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