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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 51.63
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 55.74
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide (Emerald Points)
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Condition: New.
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide (Emerald Points)
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 56.68
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, GB, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 57.28
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Add to basketHardback. Condition: New. Big Data analytics and machine learning are being adopted in a range of industries - but how can these technologies be utilised and what can they offer to the tourism industry? In the process of their journeys and in their decision-making processes, people who travel contribute to the generation of a huge flow of data; all this information is a potential base for creating smart destinations and improving tourism organizations' potential to customize their products and service offerings.The real execution of such inventive forms of data-driven value generation in tourism continues to be more restricted to the theory or used in a few exceptional cases. Big data and machine learning techniques in tourism persists as an unclear concept and a subject of investigation that necessitates closer analysis from an extensive range of field and research methods. Big Data Analytics for the Prediction of Tourist Preferences Worldwide tackles this challenge, exploring the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.The authors provide theoretical and experiential contributions designed to see a wider adoption of these technologies in the tourism industry.
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Big Data Analytics For The Prediction O
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
£ 59.22
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, GB, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 63.89
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New. Big Data analytics and machine learning are being adopted in a range of industries - but how can these technologies be utilised and what can they offer to the tourism industry? In the process of their journeys and in their decision-making processes, people who travel contribute to the generation of a huge flow of data; all this information is a potential base for creating smart destinations and improving tourism organizations' potential to customize their products and service offerings.The real execution of such inventive forms of data-driven value generation in tourism continues to be more restricted to the theory or used in a few exceptional cases. Big data and machine learning techniques in tourism persists as an unclear concept and a subject of investigation that necessitates closer analysis from an extensive range of field and research methods. Big Data Analytics for the Prediction of Tourist Preferences Worldwide tackles this challenge, exploring the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.The authors provide theoretical and experiential contributions designed to see a wider adoption of these technologies in the tourism industry.
-
Big Data Analytics for the Prediction of Tourist Preferences Worldwide (Emerald Points)
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 59.78
Convert currency£ 6.70 shipping from U.S.A. to United KingdomQuantity: 3 available
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 55
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Add to basketCondition: As New. Unread book in perfect condition.
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 57.04
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: New.
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Big Data Analytics For The Prediction O
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 71.98
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Group Pub Ltd, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Hardcover. Condition: Brand New. 172 pages. 9.02x5.98x0.38 inches. In Stock.
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, GB, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 65.91
Convert currency£ 25 shipping within United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New. Big Data analytics and machine learning are being adopted in a range of industries - but how can these technologies be utilised and what can they offer to the tourism industry? In the process of their journeys and in their decision-making processes, people who travel contribute to the generation of a huge flow of data; all this information is a potential base for creating smart destinations and improving tourism organizations' potential to customize their products and service offerings.The real execution of such inventive forms of data-driven value generation in tourism continues to be more restricted to the theory or used in a few exceptional cases. Big data and machine learning techniques in tourism persists as an unclear concept and a subject of investigation that necessitates closer analysis from an extensive range of field and research methods. Big Data Analytics for the Prediction of Tourist Preferences Worldwide tackles this challenge, exploring the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.The authors provide theoretical and experiential contributions designed to see a wider adoption of these technologies in the tourism industry.
-
Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, GB, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 64.44
Convert currency£ 85.62 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New. Big Data analytics and machine learning are being adopted in a range of industries - but how can these technologies be utilised and what can they offer to the tourism industry? In the process of their journeys and in their decision-making processes, people who travel contribute to the generation of a huge flow of data; all this information is a potential base for creating smart destinations and improving tourism organizations' potential to customize their products and service offerings.The real execution of such inventive forms of data-driven value generation in tourism continues to be more restricted to the theory or used in a few exceptional cases. Big data and machine learning techniques in tourism persists as an unclear concept and a subject of investigation that necessitates closer analysis from an extensive range of field and research methods. Big Data Analytics for the Prediction of Tourist Preferences Worldwide tackles this challenge, exploring the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.The authors provide theoretical and experiential contributions designed to see a wider adoption of these technologies in the tourism industry.
-
Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Group Pub Ltd, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
Hardcover. Condition: Brand New. 172 pages. 9.02x5.98x0.38 inches. In Stock. This item is printed on demand.
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 64.96
Convert currency£ 21.61 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorDr. N. Padmaja is Assistant Professor at the Department of Computer Science and Engineering, SRI Padmavati Mahila Visvavidyalayam, India. Dr. Rajalakshmi Subramaniam is the F.
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Big Data Analytics for the Prediction of Tourist Preferences Worldwide (Emerald Points)
Published by Emerald Publishing Limited, 2024
ISBN 10: 1835493394 ISBN 13: 9781835493397
Language: English
£ 85.33
Convert currency£ 6.87 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
