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A Proposed Predictive Analytics Model for ITDSS: Intelligent Transportation Decision Support System - Softcover
Synopsis
Although relying on Predictive Analytics (PA) in our digital transformation age becomes an important way to achieve success, the public enterprise sector companies specialized in passenger intercity transportation in Egypt still rely on descriptive reports and unsupported opinions in transportation planning. Therefore, these companies need to rely on PA in the transportation planning and decision-making process. Moving toward PA is a clear path to become an intelligent organization. The use of PA does not only drive cost-saving and revenue growth but also provides more accurate and timely information to develop the decision-making process and achieve various strategic objectives. Ridership prediction is one of the most important prediction studies that could be performed in intercity public transportation companies. It is considered at the heart of transportation policymaking and the success of transportation systems because it affects the revenue of the company. The main goal of this book is to build a predictive analytics machine learning ridership model to aid Upper Egypt Company (UE Co.) planners depend on analytics to replace unsupported opinions with data-driven conclusions.
"synopsis" may belong to another edition of this title.
- PublisherLAP LAMBERT Academic Publishing
- Publication date2022
- ISBN 10 6200303959
- ISBN 13 9786200303950
- BindingPaperback
- LanguageEnglish
- Number of pages260
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A Proposed Predictive Analytics Model for ITDSS: Intelligent Transportation Decision Support System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
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A Proposed Predictive Analytics Model for ITDSS: Intelligent Transportation Decision Support System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
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A Proposed Predictive Analytics Model for ITDSS
Published by
LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Although relying on Predictive Analytics (PA) in our digital transformation age becomes an important way to achieve success, the public enterprise sector companies specialized in passenger intercity transportation in Egypt still rely on descriptive reports and unsupported opinions in transportation planning. Therefore, these companies need to rely on PA in the transportation planning and decision-making process. Moving toward PA is a clear path to become an intelligent organization. The use of PA does not only drive cost-saving and revenue growth but also provides more accurate and timely information to develop the decision-making process and achieve various strategic objectives. Ridership prediction is one of the most important prediction studies that could be performed in intercity public transportation companies. It is considered at the heart of transportation policymaking and the success of transportation systems because it affects the revenue of the company. The main goal of this book is to build a predictive analytics machine learning ridership model to aid Upper Egypt Company (UE Co.) planners depend on analytics to replace unsupported opinions with data-driven conclusions. 260 pp. Englisch. Seller Inventory # 9786200303950
Quantity: 2 available
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A Proposed Predictive Analytics Model for ITDSS: Intelligent Transportation Decision Support System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18403819762
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A Proposed Predictive Analytics Model for ITDSS
Published by
LAP Lambert Academic Publishing, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Although relying on Predictive Analytics (PA) in our digital transformation age becomes an important way to achieve success, the public enterprise sector companies specialized in passenger intercity transportation in Egypt still rely on descriptive reports . Seller Inventory # 601137756
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A Proposed Predictive Analytics Model for ITDSS : Intelligent Transportation Decision Support System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Although relying on Predictive Analytics (PA) in our digital transformation age becomes an important way to achieve success, the public enterprise sector companies specialized in passenger intercity transportation in Egypt still rely on descriptive reports and unsupported opinions in transportation planning. Therefore, these companies need to rely on PA in the transportation planning and decision-making process. Moving toward PA is a clear path to become an intelligent organization. The use of PA does not only drive cost-saving and revenue growth but also provides more accurate and timely information to develop the decision-making process and achieve various strategic objectives. Ridership prediction is one of the most important prediction studies that could be performed in intercity public transportation companies. It is considered at the heart of transportation policymaking and the success of transportation systems because it affects the revenue of the company. The main goal of this book is to build a predictive analytics machine learning ridership model to aid Upper Egypt Company (UE Co.) planners depend on analytics to replace unsupported opinions with data-driven conclusions. Seller Inventory # 9786200303950
Quantity: 1 available
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A Proposed Predictive Analytics Model for ITDSS
Published by
LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200303959
ISBN 13: 9786200303950
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Although relying on Predictive Analytics (PA) in our digital transformation age becomes an important way to achieve success, the public enterprise sector companies specialized in passenger intercity transportation in Egypt still rely on descriptive reports and unsupported opinions in transportation planning. Therefore, these companies need to rely on PA in the transportation planning and decision-making process. Moving toward PA is a clear path to become an intelligent organization. The use of PA does not only drive cost-saving and revenue growth but also provides more accurate and timely information to develop the decision-making process and achieve various strategic objectives. Ridership prediction is one of the most important prediction studies that could be performed in intercity public transportation companies. It is considered at the heart of transportation policymaking and the success of transportation systems because it affects the revenue of the company. The main goal of this book is to build a predictive analytics machine learning ridership model to aid Upper Egypt Company (UE Co.) planners depend on analytics to replace unsupported opinions with data-driven conclusions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 260 pp. Englisch. Seller Inventory # 9786200303950
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