DocumentCode :
690591
Title :
Information Mining on the Web: E-business Application
Author :
Taherdoost, Hamed ; Hosseinkhani, Javad
Author_Institution :
Adv. Inf. Sch., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
500
Lastpage :
503
Abstract :
At the recent development in the application of Information Communication Technologies (ICT), Internet has been at the forefront. Since, people have been becoming more interested in the Internet and Electronic Businesses (e-business), a growing number of organizations have been already entered or planning to move into e-business. In e-business environment, search engines play an important role because they are efficient methods for customers to find their required and requested products quick. This paper aims to propose a framework to extract the useful information from the business related websites contents that can support search engines to find appropriate services and products.
Keywords :
Internet; Web sites; data mining; electronic commerce; information retrieval; search engines; ICT; Information Communication Technologies; Internet; Web; business related Website contents; e-business application; electronic business; information extraction; information mining; search engines; Business; Crawlers; Data models; Internet; Search engines; Web mining; Application; Crowler; E-business; Framework; Information Mining; Search Engine; Web Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
Conference_Location :
Kuching
Type :
conf
DOI :
10.1109/ACSAT.2013.104
Filename :
6836633
Link To Document :
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