Military Applications of Data Analytics

Buch | Hardcover

194 Seiten

2018
Auerbach Publishers Inc. (Verlag)
978-1-4987-9976-8 (ISBN)

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Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many benefits associated with data analytics. However, for leaders in defense organizations—either government or industry—accessible use cases are not always available. This book presents a diverse collection of cases that explore the realm of possibilities in military data analytics. These use cases explore such topics as:

Context for maritime situation awareness
Data analytics for electric power and energy applications
Environmental data analytics in military operations
Data analytics and training effectiveness evaluation
Harnessing single board computers for military data analytics
Analytics for military training in virtual reality environments

A chapter on using single board computers explores their application in a variety of domains, including wireless sensor networks, unmanned vehicles, and cluster computing. The investigation into a process for extracting and codifying expert knowledge provides a practical and useful model for soldiers that can support diagnostics, decision making, analysis of alternatives, and myriad other analytical processes. Data analytics is seen as having a role in military learning, and a chapter in the book describes the ongoing work with the United States Army Research Laboratory to apply data analytics techniques to the design of courses, evaluation of individual and group performances, and the ability to tailor the learning experience to achieve optimal learning outcomes in a minimum amount of time. Another chapter discusses how virtual reality and analytics are transforming training of military personnel. Virtual reality and analytics are also transforming monitoring, decision making, readiness, and operations.

Military Applications of Data Analytics brings together a collection of technical and application-oriented use cases. It enables decision makers and technologists to make connections between data analytics and such fields as virtual reality and cognitive science that are driving military organizations around the world forward.

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.

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

Erscheinungsdatum	20.09.2018
Reihe/Serie	Data Analytics Applications
Zusatzinfo	10 Illustrations, color; 25 Illustrations, black and white
Sprache	englisch
Maße	156 x 234 mm
Gewicht	482 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Netzwerke ► Sicherheit / Firewall
	Sozialwissenschaften ► Politik / Verwaltung ► Allgemeines / Lexika
	Sozialwissenschaften ► Politik / Verwaltung ► Europäische / Internationale Politik
	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
ISBN-10	1-4987-9976-0 / 1498799760
ISBN-13	978-1-4987-9976-8 / 9781498799768
Zustand	Neuware