Storage organization and indexing in a web warehouse

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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Bibliographic Details
Main Author: Qin, Feng Qiong
Other Authors: Ng Wee Keong
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Online Access:http://hdl.handle.net/10356/42546
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-42546
record_format dspace
spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Qin, Feng Qiong
Storage organization and indexing in a web warehouse
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.
author2 Ng Wee Keong
author_facet Ng Wee Keong
Qin, Feng Qiong
format Theses and Dissertations
author Qin, Feng Qiong
author_sort Qin, Feng Qiong
title Storage organization and indexing in a web warehouse
title_short 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_sort storage organization and indexing in a web warehouse
publishDate 2010
url http://hdl.handle.net/10356/42546
_version_ 1681056735421267968

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