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New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques - Couverture souple

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9783030711177: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques
Couverture souple
ISBN 10 : 303071117X ISBN 13 : 9783030711177
Editeur : Springer, 2022

Synopsis

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. 

This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.  

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others.

This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2022
Langue
anglais
ISBN 10 
303071117X
ISBN 13 
9783030711177
Reliure
Broché
Nombre de pages
508
Éditeur
Zapata-cortes Julian Andres, Alor-Hernndez Giner, Snchez-Ramrez Cuauhtmoc, Garca-Alcaraz Jorge Luis
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
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