Information Mining on the Web; E-business Application

被引:1
|
作者
Taherdoost, Hamed [1 ]
Hosseinkhani, Javad [2 ]
机构
[1] Univ Teknol Malaysia, Adv Informat Sch, Kuala Lumpur, Malaysia
[2] Univ Teknol Malaysia, Fac Comp, Kuala Lumpur, Malaysia
来源
2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT) | 2014年
关键词
Crowler; E-business; Information Mining; Framework; Web Mining; Application; Search Engine;
D O I
10.1109/ACSAT.2013.104
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:500 / 503
页数:4
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