東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Tourism analytics before and after C...

Nguwi, Yok Yen.

FindBook

Google Book

Amazon

博客來

Tourism analytics before and after COVID-19 = case studies from Asia and Europe /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tourism analytics before and after COVID-19/ edited by Yok Yen Nguwi.
其他題名:	case studies from Asia and Europe /
其他作者:	Nguwi, Yok Yen.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	viii, 246 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Impacts on aviation and accommodation in Europe using deep learning machine learning -- Time series model tourism forecasting, the case for Hainan, China -- Impacts on Covid on Singapore's hotel industry and pricing strategy -- Inbound tourist analysis on arrival and length of stay distribution, the case for Indonesian tourists -- Modeling tourism in Hong Kong using Ridge Linear Regression, Support Vector Machine and XGBoost approach -- Analytics on the prediction of hotel booking cancellation, the case for Portugal hotels.
Contained By:	Springer Nature eBook
標題:	Tourism - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-19-9369-5
ISBN:	9789811993695

Tourism analytics before and after COVID-19 = case studies from Asia and Europe /
Tourism analytics before and after COVID-19case studies from Asia and Europe /[electronic resource] :edited by Yok Yen Nguwi. - Singapore :Springer Nature Singapore :2023. - viii, 246 p. :ill. (chiefly col.), digital ;24 cm.

Impacts on aviation and accommodation in Europe using deep learning machine learning -- Time series model tourism forecasting, the case for Hainan, China -- Impacts on Covid on Singapore's hotel industry and pricing strategy -- Inbound tourist analysis on arrival and length of stay distribution, the case for Indonesian tourists -- Modeling tourism in Hong Kong using Ridge Linear Regression, Support Vector Machine and XGBoost approach -- Analytics on the prediction of hotel booking cancellation, the case for Portugal hotels.

This book is compilation of different analytics and machine learning techniques focusing on the tourism industry, particularly in measuring the impact of COVID-19 as well as forging a path ahead toward recovery. It includes case studies on COVID-19's effects on tourism in Europe, Hong Kong, China, and Singapore with the objective of looking at the issues through a data analytical lens and uncovering potential solutions. It adopts descriptive analytics, predictive analytics, machine learning predictive models, and some simulation models to provide holistic understanding. There are three ways in which readers will benefit from reading this work. Firstly, readers gain an insightful understanding of how tourism is impacted by different factors, its intermingled relationship with macro and business data, and how different analytics approaches can be used to visualize the issues, scenarios, and resolutions. Secondly, readers learn to pick up data analytics skills from the illustrated examples. Thirdly, readers learn the basics of Python programming to work with the different kinds of datasets that may be applicable to the tourism industry.

ISBN: 9789811993695

Standard No.: 10.1007/978-981-19-9369-5doiSubjects--Topical Terms:

736135
Tourism
--Data processing.

LC Class. No.: G155.A1

Dewey Class. No.: 338.47910285

Tourism analytics before and after COVID-19 = case studies from Asia and Europe /
LDR:02709nmm a2200325 a 4500 001 2316779
003 DE-He213
005 20230308131908.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789811993695 $q (electronic bk.)
020 $a 9789811993688 $q (paper)
024 7 $a 10.1007/978-981-19-9369-5 $2 doi
035 $a 978-981-19-9369-5
040 $a GP $c GP
041 0 $a eng
050 4 $a G155.A1
072 7 $a KNSG $2 bicssc
072 7 $a BUS081000 $2 bisacsh
072 7 $a KNSG $2 thema
082 0 4 $a 338.47910285 $2 23
090 $a G155.A1 $b T727 2023
245 0 0 $a Tourism analytics before and after COVID-19 $h [electronic resource] : $b case studies from Asia and Europe / $c edited by Yok Yen Nguwi.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a viii, 246 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
505 0 $a Impacts on aviation and accommodation in Europe using deep learning machine learning -- Time series model tourism forecasting, the case for Hainan, China -- Impacts on Covid on Singapore's hotel industry and pricing strategy -- Inbound tourist analysis on arrival and length of stay distribution, the case for Indonesian tourists -- Modeling tourism in Hong Kong using Ridge Linear Regression, Support Vector Machine and XGBoost approach -- Analytics on the prediction of hotel booking cancellation, the case for Portugal hotels.
520 $a This book is compilation of different analytics and machine learning techniques focusing on the tourism industry, particularly in measuring the impact of COVID-19 as well as forging a path ahead toward recovery. It includes case studies on COVID-19's effects on tourism in Europe, Hong Kong, China, and Singapore with the objective of looking at the issues through a data analytical lens and uncovering potential solutions. It adopts descriptive analytics, predictive analytics, machine learning predictive models, and some simulation models to provide holistic understanding. There are three ways in which readers will benefit from reading this work. Firstly, readers gain an insightful understanding of how tourism is impacted by different factors, its intermingled relationship with macro and business data, and how different analytics approaches can be used to visualize the issues, scenarios, and resolutions. Secondly, readers learn to pick up data analytics skills from the illustrated examples. Thirdly, readers learn the basics of Python programming to work with the different kinds of datasets that may be applicable to the tourism industry.
650 0 $a Tourism $x Data processing. $3 736135
650 0 $a COVID-19 Pandemic, 2020- $x Economic aspects $v Case studies. $3 3504889
650 0 $a COVID-19 Pandemic, 2020- $x Social aspects $v Case studies. $3 3630307
650 1 4 $a Tourism Management. $3 2068134
650 2 4 $a Business Analytics. $3 3592362
650 2 4 $a Data Analysis and Big Data. $3 3538537
700 1 $a Nguwi, Yok Yen. $3 3630306
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-19-9369-5
950 $a Business and Management (SpringerNature-41169)