期刊名称：International Journal of Enterprise Computing and Business Systems
电子版ISSN：2230-8849
出版年度：2011
卷号：1
期号：2
出版社：International Journal of Enterprise Computing and Business Systems
摘要：The World Wide Web is a popular and interactive medium to disseminate information today .The web is huge, diverse, dynamic, widely distributed global information service centre. We are familiar with the terms like e-commerce, e-governance, e-market, e-finance, e-learning,e-banking etc. These terms come under online services called e-service applications. Eservices involve various types of delivery systems, advanced information technologies, methodologies and applications of online services. The keyword intelligence will be the next paradigm shift in the e-services, thanks to internet technological advances. Intelligence is closely related with Artificial Intelligence. Web Mining is the technique used to crawl through various web resources to collect required information, which enables an individual to promote business, understanding marketing dynamics, and new promotions floating on the Internet etc. The taxonomy of web mining can be broadly divided into three distinct categories; according to the kinds of data to be mined they are Web Content Mining, Web Structure Mining and Web Usage Mining. There are a lot of techniques of web mining however; artificial intelligence techniques and algorithms are being used by almost all web mining tasks for their efficiency. This paper discusses the two main AI techniques; the Multi- Agent Systems and Swarm Intelligence, with some of their applications in web mining. Web mining intelligent techniques can be combined with traditional web mining approaches to improve the quality of mining.
