期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：121-124
语种：English
出版社：Ayushmaan Technologies
摘要：The exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc. Over the last decade, there has been a paradigm shift in business computing with the emphasis moving from data collection to knowledge extraction. Central to this shift has been the explosive growth of the World Wide Web, which has enabled myriad technologies, such as Web services and enterprise server applications. These advances have improved data collection frameworks and resulted in new techniques for knowledge extraction from large databases. A popular and successful technique which has showed much promise is Web mining. Web mining is essentially data mining for Web data, thus enabling businesses to turn their vast repositories of transactional and Website usage data into actionable knowledge that is useful at every level of the enterprise – not just the front-end of an online store. To this end, the chapter provides an introduction to the field of Web mining and examines existing as well as potential Web mining applications applicable for different business function, like marketing, human resources, and fiscal administration. Suggestions for improving information technology infrastructure are made, which can help businesses interested in Web mining hit the ground running.
