An Online Searching System For New Property In Malaysia
The thesis is written on the study of search engine for the online property searching in Malaysian. Online property searching is very new in Malaysia. A numbers of property portals just launching their service in the middle of year 2000. There are some limitations presented in their system. By study...
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| Language: | eng eng |
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2001
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| Online Access: | https://etd.uum.edu.my/327/1/LOW_PHEI_SIAN_-_An_online_searching_system_for_new_property_in_Malaysia.pdf https://etd.uum.edu.my/327/2/1.LOW_PHEI_SIAN_-_An_online_searching_system_for_new_property_in_Malaysia.pdf |
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my-uum-etd.3272013-07-24T12:06:43Z An Online Searching System For New Property In Malaysia 2001 Low, Phei Sian Sekolah Siswazah Sekolah Siswazah Z699-699.5 Machine methods of information and retrieval. The thesis is written on the study of search engine for the online property searching in Malaysian. Online property searching is very new in Malaysia. A numbers of property portals just launching their service in the middle of year 2000. There are some limitations presented in their system. By studying the search engine concept, this thesis hope to improvise an alternative solution for a more effective system in term of searching a wider scopes and requiring less maintenance work at the same time. Bddbot, a search engine written in Java is used for valuation for this study. After setting up and enhancing some of the features, the results presented some limitations need to be improved. A directory based searching system is more appropriate if to compare above two mentioned system for property search. 2001 Thesis https://etd.uum.edu.my/327/ https://etd.uum.edu.my/327/1/LOW_PHEI_SIAN_-_An_online_searching_system_for_new_property_in_Malaysia.pdf application/pdf eng validuser https://etd.uum.edu.my/327/2/1.LOW_PHEI_SIAN_-_An_online_searching_system_for_new_property_in_Malaysia.pdf application/pdf eng public masters masters Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng |
| topic |
Z699-699.5 Machine methods of information and retrieval. |
| spellingShingle |
Z699-699.5 Machine methods of information and retrieval. Low, Phei Sian An Online Searching System For New Property In Malaysia |
| description |
The thesis is written on the study of search engine for the online property searching in Malaysian. Online property searching is very new in Malaysia. A numbers of property portals just launching their service in the middle of year 2000. There are some limitations presented in their system. By studying the search engine concept, this thesis hope to improvise an alternative solution for a
more effective system in term of searching a wider scopes and requiring less maintenance work at the same time. Bddbot, a search engine written in Java is used for valuation for this study. After setting up and enhancing some of the features, the results presented some limitations need to be improved. A directory based searching system is more appropriate if to compare above two mentioned system for property search. |
| format |
Thesis |
| qualification_name |
masters |
| qualification_level |
Master's degree |
| author |
Low, Phei Sian |
| author_facet |
Low, Phei Sian |
| author_sort |
Low, Phei Sian |
| title |
An Online Searching System For New Property In Malaysia
|
| title_short |
An Online Searching System For New Property In Malaysia
|
| title_full |
An Online Searching System For New Property In Malaysia
|
| title_fullStr |
An Online Searching System For New Property In Malaysia
|
| title_full_unstemmed |
An Online Searching System For New Property In Malaysia
|
| title_sort |
online searching system for new property in malaysia |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
Sekolah Siswazah |
| publishDate |
2001 |
| url |
https://etd.uum.edu.my/327/1/LOW_PHEI_SIAN_-_An_online_searching_system_for_new_property_in_Malaysia.pdf https://etd.uum.edu.my/327/2/1.LOW_PHEI_SIAN_-_An_online_searching_system_for_new_property_in_Malaysia.pdf |
| _version_ |
1747826888998387712 |