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Airline Revenue Management
Airline Revenue Management
Knygos.lt klubas Knygos.lt nariams
60,75 €
-30%
Įprastai
86,79 €
  • Išsiųsime per 12–18 d.d.
The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for bo…
  • Leidėjas:
  • ISBN-10: 3658337230
  • ISBN-13: 9783658337230
  • Formatas: 17 x 24.4 x 0.7 cm, minkšti viršeliai
  • Kalba: Anglų

Airline Revenue Management (el. knyga) (skaityta knyga) | knygos.lt

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The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

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  • Autorius: Curt Cramer
  • Leidėjas:
  • ISBN-10: 3658337230
  • ISBN-13: 9783658337230
  • Formatas: 17 x 24.4 x 0.7 cm, minkšti viršeliai
  • Kalba: Anglų

The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

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