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.
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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.
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.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch. Nº de ref. del artículo: 9783330033061
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Asir Antony Gnana Singh DanasinghDr. 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. Nº de ref. del artículo: 159137578
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Paperback. Condición: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock. Nº de ref. del artículo: __3330033061
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Nº de ref. del artículo: 9783330033061
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783330033061
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Decision Making in Enterprises: A Machine Learning Approach | Concepts, Tools and Techniques | Danasingh Asir Antony Gnana Singh (u. a.) | Taschenbuch | 84 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330033061 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 108246380
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