Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia

Nowadays, Tourists are presented with a lot of online recommendation options before traveling. They often get confused in choosing specific places to travel and this is a time consuming process among all tourists across the globe. In this project, we crawled tourist profiles and interesting places i...

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主要作者:	Aghdam, Atae Rezaei
格式:	Thesis
语言:	English
出版:	2013
主题:	G154.9-155.8 Travel and state Tourism
在线阅读:	http://eprints.utm.my/id/eprint/35864/4/AtaeRezaeiAghdamMFC2013.pdf
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id	my-utm-ep.35864
record_format	uketd_dc
spelling	my-utm-ep.358642017-07-17T07:28:21Z Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia 2013-06 Aghdam, Atae Rezaei G154.9-155.8 Travel and state. Tourism Nowadays, Tourists are presented with a lot of online recommendation options before traveling. They often get confused in choosing specific places to travel and this is a time consuming process among all tourists across the globe. In this project, we crawled tourist profiles and interesting places in Johor Bahru from www.tripadvisor.com to discover clusters of customers with a different profiles, customers behavior, important feedback by tourists and useful knowledge in order to recommend appropriate places to tourists. This research includes two steps; in the first step, we clustered and applied ARM technique to uncover important knowledge about tourists and interesting places by Weka machine learning software. In clustering part we applied EM and K-Means algorithm and in association rules mining we used Apriori algorithm to find the rules between items in dataset. In the second step, we coded tourist’s comments, which are about interesting places in Johor bahru through Nvivo software. Results showed that, tourists could be clustered according to their preferences for instance, local people are not satisfied with the price of food in Legoland moreover, they prefer to travel with spouse and family with young children but foreigners like to travel with friends or business colleagues. Also, Legoland is one of the fix options for all male tourists aged between 25 to 34. Furthermore, Nvivo outputs shows that, Legoland has some affirmative and negative points. Local tourists believed that, assets of Legoland outweigh liabilities but some foreigners such as; Chinese and New Zealanders considered negative points like foods price and long queues. We believe that our two steps of analysis are powerful and results can be useful for tourism industry regarding to attract great bulk of tourists. 2013-06 Thesis http://eprints.utm.my/id/eprint/35864/ http://eprints.utm.my/id/eprint/35864/4/AtaeRezaeiAghdamMFC2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69655?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G154.9-155.8 Travel and state Tourism
spellingShingle	G154.9-155.8 Travel and state Tourism Aghdam, Atae Rezaei Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia
description	Nowadays, Tourists are presented with a lot of online recommendation options before traveling. They often get confused in choosing specific places to travel and this is a time consuming process among all tourists across the globe. In this project, we crawled tourist profiles and interesting places in Johor Bahru from www.tripadvisor.com to discover clusters of customers with a different profiles, customers behavior, important feedback by tourists and useful knowledge in order to recommend appropriate places to tourists. This research includes two steps; in the first step, we clustered and applied ARM technique to uncover important knowledge about tourists and interesting places by Weka machine learning software. In clustering part we applied EM and K-Means algorithm and in association rules mining we used Apriori algorithm to find the rules between items in dataset. In the second step, we coded tourist’s comments, which are about interesting places in Johor bahru through Nvivo software. Results showed that, tourists could be clustered according to their preferences for instance, local people are not satisfied with the price of food in Legoland moreover, they prefer to travel with spouse and family with young children but foreigners like to travel with friends or business colleagues. Also, Legoland is one of the fix options for all male tourists aged between 25 to 34. Furthermore, Nvivo outputs shows that, Legoland has some affirmative and negative points. Local tourists believed that, assets of Legoland outweigh liabilities but some foreigners such as; Chinese and New Zealanders considered negative points like foods price and long queues. We believe that our two steps of analysis are powerful and results can be useful for tourism industry regarding to attract great bulk of tourists.
format	Thesis
qualification_level	Master's degree
author	Aghdam, Atae Rezaei
author_facet	Aghdam, Atae Rezaei
author_sort	Aghdam, Atae Rezaei
title	Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia
title_short	Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia
title_full	Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia
title_fullStr	Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia
title_full_unstemmed	Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia
title_sort	knowledge discovery for interesting places for tourists in johor bahru, malaysia
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/35864/4/AtaeRezaeiAghdamMFC2013.pdf
_version_	1747816374438199296

Knowledge discovery for interesting places for tourists in Johor Bahru, Malaysia

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