1.

Record Nr.

UNINA9910789304103321

Autore

Bossé Éloi <1956->

Titolo

Information fusion and analytics for big data and IoT / / Éloi Bossé, Basel Solaiman

Pubbl/distr/stampa

Norwood, Massachusetts. : , : Artech House, , [2016]

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2016]

ISBN

1-63081-088-6

Descrizione fisica

1 online resource (267 pages) : illustrations

Collana

Artech House intelligence and information operations series

Disciplina

005.7

Soggetti

Multisensor data fusion

Internet of things

Big data

Cooperating objects (Computer systems)

Integration (Theory of knowledge)

Data mining

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

General context of cyber physical and social systems -- Situation awareness and decision support -- Information and uncertainty : definitions and representations -- Information characterization and representations -- Information fusion cells and processing strategies -- A holonic processing of information fusion cella -- FIAT-based decision support for complex environments -- FIAT prospective research and future work -- Summary.

Sommario/riassunto

The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations. This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and



situational awareness. Practitioners also discover the central notions of analytics and information fusion. Moreover the book introduces propos such as integration through a FIAT computational model and applications at the systems level. This book concludes with a list of prospective research activities that can contribute towards the required FIAT integration for critical application domains such as: energy, health, transport and defense and security.