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| fixed length control field |
03313nam a2200397Ii 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UtOrBLW |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250516120547.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240321t20242024enk ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781835493403 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.B45 |
| Item number |
P33 2024 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
BUS081000 |
| Source |
bisacsh |
|
|---|
| Subject category code |
KNSG |
| Source |
thema |
| 080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER |
|---|
| Universal Decimal Classification number |
004.6 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.7 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Padmaja, N., |
| Relator term |
author. |
| 9 (RLIN) |
46313 |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Big data analytics for the prediction of tourist preferences worldwide / |
| Statement of responsibility, etc |
Dr. N. Padmaja (SRI Padmavati Mahila Visvavidyalayam, India), Dr. Rajalakshmi Subramaniam (Talaash Research Consultants, India), Dr. Sanjay Mohapatra (Batoi Systems Pvt Ltd, India). |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (144 pages). |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Emerald points |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1. Introduction -- Chapter 2. Literature Review -- Chapter 3. Design of the Proposed System -- Chapter 4. Predicting Preferences of International and Domestic Tourists Using Association Rule Mining Algorithm -- Chapter 5. Predicting Hotel Preferences of International and Domestic Tourists Using Pointwise Mutual Information -- Chapter 6. Big Data Analytics in Predicting Tourist Preferences Based on Hotel Ratings Using Multiclass Multilabel Classification Algorithm -- Chapter 7. Performance Evaluation -- Chapter 8. Discussion and Conclusion. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data. |
| 9 (RLIN) |
42765 |
|
|---|
| Topical term or geographic name as entry element |
Tourism |
| General subdivision |
Forecasting. |
| 9 (RLIN) |
46314 |
|
|---|
| Topical term or geographic name as entry element |
Business & Economics |
| General subdivision |
Industries |
| -- |
Hospitality, Travel & Tourism. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
6780 |
|
|---|
| Topical term or geographic name as entry element |
Hospitality, sports, leisure and tourism industries. |
| Source of heading or term |
thema |
| 9 (RLIN) |
46302 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Subramaniam, Rajalakshmi, |
| Relator term |
author. |
| 9 (RLIN) |
46315 |
|
|---|
| Personal name |
Mohapatra, Sanjay, |
| Relator term |
author. |
| 9 (RLIN) |
46316 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| International Standard Book Number |
9781835493397 |
|
|---|
| Display text |
PDF version: |
| International Standard Book Number |
9781835493380 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Emerald points. |
| 9 (RLIN) |
46317 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://doi.org/10.1108/9781835493380 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
