Storage organization and indexing in a web warehouse
As the World Wide Web grows rapidly to become the largest and the most popular source of readily available information, it is increasingly important to be aware of information on the Web that may impact a business organization during critical decision making. Most existing search engines that suppor...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/42546 |
| _version_ | 1826113910696050688 |
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| author | Qin, Feng Qiong |
| author2 | Ng Wee Keong |
| author_facet | Ng Wee Keong Qin, Feng Qiong |
| author_sort | Qin, Feng Qiong |
| collection | NTU |
| description | As the World Wide Web grows rapidly to become the largest and the most popular source of readily available information, it is increasingly important to be aware of information on the Web that may impact a business organization during critical decision making. Most existing search engines that support keyword queries do not allow efficient and sophisticated retrieval of web information. The WHOWEDA web warehousing project aims to harness useful web information for critical decision making by supporting efficient web queries. |
| first_indexed | 2024-10-01T03:30:59Z |
| format | Thesis |
| id | ntu-10356/42546 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:30:59Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/425462020-09-27T20:14:43Z Storage organization and indexing in a web warehouse Qin, Feng Qiong Ng Wee Keong School of Applied Science DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval As the World Wide Web grows rapidly to become the largest and the most popular source of readily available information, it is increasingly important to be aware of information on the Web that may impact a business organization during critical decision making. Most existing search engines that support keyword queries do not allow efficient and sophisticated retrieval of web information. The WHOWEDA web warehousing project aims to harness useful web information for critical decision making by supporting efficient web queries. Master of Applied Science 2010-12-30T04:10:00Z 2010-12-30T04:10:00Z 1999 1999 Thesis http://hdl.handle.net/10356/42546 en 138 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Qin, Feng Qiong Storage organization and indexing in a web warehouse |
| title | Storage organization and indexing in a web warehouse |
| title_full | Storage organization and indexing in a web warehouse |
| title_fullStr | Storage organization and indexing in a web warehouse |
| title_full_unstemmed | Storage organization and indexing in a web warehouse |
| title_short | Storage organization and indexing in a web warehouse |
| title_sort | storage organization and indexing in a web warehouse |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
| url | http://hdl.handle.net/10356/42546 |
| work_keys_str_mv | AT qinfengqiong storageorganizationandindexinginawebwarehouse |