Data Mining through Internet search engines: the case for Islamic management materials

Data Mining through Internet search engines: the case for Islamic management materials

The study is carried out to ascertain relative availability of the materials of Islamic management using data mining through the Internet search engines (ISE’s). The contents of thirteen ISE’s are analysed using a specially created format. The present study established the relative ratios of the cov...

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Bibliographic Details
Main Authors: Mhd Sarif, Suhaimi, Ismail, Yusof
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
HF5549 Personnel management
Online Access:http://irep.iium.edu.my/3261/
http://irep.iium.edu.my/3261/
http://irep.iium.edu.my/3261/2/Data_Mining_through_Internet_Search_Engines.pdf
id iium-3261
recordtype eprints
spelling iium-32612012-05-09T03:22:50Z http://irep.iium.edu.my/3261/ Data Mining through Internet search engines: the case for Islamic management materials Mhd Sarif, Suhaimi Ismail, Yusof HF5549 Personnel management The study is carried out to ascertain relative availability of the materials of Islamic management using data mining through the Internet search engines (ISE’s). The contents of thirteen ISE’s are analysed using a specially created format. The present study established the relative ratios of the coverage of selected terms in terms of number of hits shown within each ISE. The ratios are obtained by dividing the hits for a search term into the means (average) of comparable hits as the standardized denominator. The results of the analysis show that the ISE’s contain scarce amount of materials on Islamic management. 2010-05-25 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3261/2/Data_Mining_through_Internet_Search_Engines.pdf Mhd Sarif, Suhaimi and Ismail, Yusof (2010) Data Mining through Internet search engines: the case for Islamic management materials. In: Knowledge Management International Conference , 25-27 May 2010, Kuala Terengganu. http://www.kmice.uum.edu.my/kmice2012/intro.asp
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic HF5549 Personnel management
spellingShingle HF5549 Personnel management
Mhd Sarif, Suhaimi
Ismail, Yusof
Data Mining through Internet search engines: the case for Islamic management materials
description The study is carried out to ascertain relative availability of the materials of Islamic management using data mining through the Internet search engines (ISE’s). The contents of thirteen ISE’s are analysed using a specially created format. The present study established the relative ratios of the coverage of selected terms in terms of number of hits shown within each ISE. The ratios are obtained by dividing the hits for a search term into the means (average) of comparable hits as the standardized denominator. The results of the analysis show that the ISE’s contain scarce amount of materials on Islamic management.
format Conference or Workshop Item
author Mhd Sarif, Suhaimi
Ismail, Yusof
author_facet Mhd Sarif, Suhaimi
Ismail, Yusof
author_sort Mhd Sarif, Suhaimi
title Data Mining through Internet search engines: the case for Islamic management materials
title_short Data Mining through Internet search engines: the case for Islamic management materials
title_full Data Mining through Internet search engines: the case for Islamic management materials
title_fullStr Data Mining through Internet search engines: the case for Islamic management materials
title_full_unstemmed Data Mining through Internet search engines: the case for Islamic management materials
title_sort data mining through internet search engines: the case for islamic management materials
publishDate 2010
url http://irep.iium.edu.my/3261/
http://irep.iium.edu.my/3261/
http://irep.iium.edu.my/3261/2/Data_Mining_through_Internet_Search_Engines.pdf
first_indexed 2023-09-18T20:11:01Z
last_indexed 2023-09-18T20:11:01Z
_version_ 1777407478398451712

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