Decision Making in Enterprises: A Machine Learning Approach: Concepts, Tools and Techniques - Couverture souple

Asir Antony Gnana Singh, Danasingh; Jebamalar Leavline, Epiphany

 
9783330033061: Decision Making in Enterprises: A Machine Learning Approach: Concepts, Tools and Techniques
Couverture souple
ISBN 10 : 3330033061 ISBN 13 : 9783330033061
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

The economic growth of a nation in terms of gross domestic product (GDP) highly depends on the production of goods and the services by enterprises such as organizations, company, and institutions. Therefore, enterprises directly participate in economic growth. The success of an enterprise highly relies on good decision making at various levels of the organizational functions right from receiving raw materials to sales of finished goods. Hence, the decision making is of very high importance in all enterprises. This book presents a practical hands-on approach to make decisions in enterprises using supervised and unsupervised machine learning algorithms on various enterprise data. Moreover, this book can guide the students, researchers, scientist to make decisions in companies, organizations, and institutions using machine learning and data mining approaches. This book also provides a practical insight to the researchers to develop research projects especially in the areas of data mining, machine learning, clustering, classification, association rule, managerial decision making, pattern recognition, development of information systems and decision support systems.

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

Présentation de l'éditeur

The economic growth of a nation in terms of gross domestic product (GDP) highly depends on the production of goods and the services by enterprises such as organizations, company, and institutions. Therefore, enterprises directly participate in economic growth. The success of an enterprise highly relies on good decision making at various levels of the organizational functions right from receiving raw materials to sales of finished goods. Hence, the decision making is of very high importance in all enterprises. This book presents a practical hands-on approach to make decisions in enterprises using supervised and unsupervised machine learning algorithms on various enterprise data. Moreover, this book can guide the students, researchers, scientist to make decisions in companies, organizations, and institutions using machine learning and data mining approaches. This book also provides a practical insight to the researchers to develop research projects especially in the areas of data mining, machine learning, clustering, classification, association rule, managerial decision making, pattern recognition, development of information systems and decision support systems.

Biographie de l'auteur

Dr. D. Asir Antony Gnana Singh, B.E., M.E., M.B.A., Ph.D., and Dr. E. Jebamalar Leavline, B.E., M.E., M.B.A., Ph.D., are with Anna University, BIT-Campus, Tiruchirappalli, India. Both of them received Bachelor, Master, and Doctoral degrees in Engineering from Anna University, Chennai, India and Master degree in Management.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
3330033061
ISBN 13 
9783330033061
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
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