Big Data Analytics for the Prediction of Tourist Preferences Worldwide

Subject:

Synopsis

(10 chapters)

Prelims

Pages i-xiv

Content available

Free Access

HTML

PDF (183 KB)

EPUB (12.1 MB)

Introduction

Pages 1-11

View access options

HTML

PDF (106 KB)

EPUB (12.1 MB)

Literature Review

Pages 13-26

View access options

HTML

PDF (91 KB)

EPUB (12.1 MB)

Design of the Proposed System

Pages 27-37

View access options

HTML

PDF (227 KB)

EPUB (12.1 MB)

Predicting Preferences of International and Domestic Tourists Using Association Rule Mining Algorithm

Pages 39-64

View access options

Chapter details

Citation: Padmaja, N., Subramaniam, R. and Mohapatra, S. (2024), "Predicting Preferences of International and Domestic Tourists Using Association Rule Mining Algorithm", Big Data Analytics for the Prediction of Tourist Preferences Worldwide, Emerald Publishing Limited, Leeds, pp. 39-64. https://doi.org/10.1108/978-1-83549-338-020241004

HTML

PDF (2.6 MB)

EPUB (12.1 MB)

Predicting Hotel Preferences of International and Domestic Tourists Using Pointwise Mutual Information

Pages 65-81

View access options

Chapter details

Citation: Padmaja, N., Subramaniam, R. and Mohapatra, S. (2024), "Predicting Hotel Preferences of International and Domestic Tourists Using Pointwise Mutual Information", Big Data Analytics for the Prediction of Tourist Preferences Worldwide, Emerald Publishing Limited, Leeds, pp. 65-81. https://doi.org/10.1108/978-1-83549-338-020241005

HTML

PDF (1 MB)

EPUB (12.1 MB)

Big Data Analytics in Predicting Tourist Preferences Based on Hotel Ratings Using Multiclass Multilabel Classification Algorithm

Pages 83-99

View access options

Chapter details

Citation: Padmaja, N., Subramaniam, R. and Mohapatra, S. (2024), "Big Data Analytics in Predicting Tourist Preferences Based on Hotel Ratings Using Multiclass Multilabel Classification Algorithm", Big Data Analytics for the Prediction of Tourist Preferences Worldwide, Emerald Publishing Limited, Leeds, pp. 83-99. https://doi.org/10.1108/978-1-83549-338-020241006

HTML

PDF (1.6 MB)

EPUB (12.1 MB)

Performance Evaluation

Pages 101-108

View access options

HTML

PDF (285 KB)

EPUB (12.1 MB)

Discussion and Conclusion

Pages 109-114

View access options

HTML

PDF (46 KB)

EPUB (12.1 MB)

References

Pages 115-123

Content available

Free Access

HTML

PDF (64 KB)

EPUB (12.1 MB)

Cover of Big Data Analytics for the Prediction of Tourist Preferences Worldwide

DOI

10.1108/9781835493380

Publication date

2024-02-22

Authors

ISBN

978-1-83549-339-7

eISBN

978-1-83549-338-0

Table of contents

All feedback is valuable

Report an issue or find answers to frequently asked questions