Use of Data Mining in Enhancement of Tourism

Authors(2) :-Mahvish Fatima, Jitendra Kurmi

Data Mining is the procedure of discovering new, raw and interesting patterns from the previously based data repositories. It is entitled as to determine useful information with the help of different algorithms. Data Mining is applicable to almost every field presently for example banking, hospital, market basket analysis, education, CRM, fraud detection, tourism etc. Tourism is the key element in the economy of any country. About 12% of the country's economy comes from the tourism. It is the sector, which is for people and from people. A number of experiments are going on in the field of data mining related to tourism but if we compare with other sectors, it is still at the early stage of development. Therefore, there is a need to focus more on the tourism sector from the research perspective. This paper elucidates the use and work of data mining in the tourism sector up to date more effectively.

Authors and Affiliations

Mahvish Fatima
Center of Engineering and Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India
Jitendra Kurmi
Center of Engineering and Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India

Architecture, Data Mining, Clustering, Regression, Review

  1. Rob Law, Henry Mok, and Carey Goh, "Data Mining in Tourism: A Retrospective Analysis," Springer-Verlag Berlin Heidelberg, ADMA 2007, LNAI 4632, pp.508-515.
  2. Manoj B.Karathiya, Ravinder Singh Sakshi, Diler Singh Sakshi and Dhaval R.Karathiya, "Data Mining For Travels And Tourism," Research Gate, Journal of Information and Operations Management, ISSN: 0967-7762, Volume 3, Issue 1, January 15, 2012.Available: http://www.bioinfo.in/contents.php?id=55.
  3. Pairaya Juwattanasamran, Sarawut Supattranuwong and Sukree Sinthupinyo, "Applying Data Mining to Analyze Travel Pattern in Searching Travel Destinations Choices," The International Journal Of Engineering And Science, ISSN(e): 2319-1813 ISSN(p): 2319-1805, Volume 2, Issue 4, pp.38-44, 2013.
  4. Mirjana Pejic` Bach, Markus Schatten, Zrinka Marusic`, "Data Mining Applications in Tourism: A Keyword Analysis," Central European Conference on Information and Intelligent Systems, Faculty of Organizations and Informatics, pp.26-27, 2013.
  5. Prabal Mahanta and Suhas Sudheendra, "The Impact of Data Mining for Insights in Travel and Tourism Industry," International Journal of Computer and Electrical Engineering, Volume 6, no.2, April 2014.
  6. Yehong Sun, Yunjie Wei, Lingyun Zhang, "International Academic Impact of Chinese Tourism Research: A Review Based on the Analysis of SSCI tourism articles from 2001 to 2012," Elsevier, Tourism Management xxx, pp.1-8, 7 March 2016.
  7. Girish Kumar Sharma, Promila Sharma, "A Study on Data Mining Algorithms for Tourism Industry," International Journal of Latest trends in Engineering and Technology, ISSN: 2278-621X, Volume 7, Issue 1, May 2016.
  8. Valeriya Shapoval, Morgan C.Wang, Tadayuki Hara, and Hideo Shioya, "Data Mining in Tourism Data Analysis: Inbound Visitors to Japan," Journal of Travel Research, pp.1-14, 2017.
  9. Krittipat Pitchayadejanant, Parinya Nakpathom, "Data Mining approach for arranging and clustering the agro-tourism activities in orchard," Elsevier, Kasetsart Journal of Social Sciences xxx, pp.1-7, 5 July 2017.
  10. George Kurian, Hongmei Chi, "Predict Florida Tourism Trend via Using Data Mining Techniques," PEARC17, ACM ISBN 978-1-4503-5272-7/17/07, New Orleans, LA, USA, July 09-13, 2017.
  11. Ana Cristina.(April 2017).Online].Available: https://www.wttc.org/media-centre/press-releases/press-releases/2017/Indias-is-the-worlds-7th-largest-tourism-economy-in-terms-of-gdp-says-wttc/.
  12. Saed Sayed.www.saedsayed.com.Online].Available: www.saedsayad.com/decision_tree.htm.
  13. Faraz Bukhari www.tutorialspoint.com. Online].Available: https://www.tutorialspoint.com/data_mining/dm_knowledge_discovery.htm
  14. www.wideskills.com Online].Available: www.wideskills.com/data-mining-tutorial/data-mining-architecture

Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 489-494
Manuscript Number : CSEIT1833153
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mahvish Fatima, Jitendra Kurmi, "Use of Data Mining in Enhancement of Tourism", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.489-494, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833153

Follow Us

Contact Us