Using MMC and K-means methods to discovery web usage patterns in the web log

碩士 === 淡江大學 === 資訊工程學系 === 92 === The World Wide Web continues to expand at an amazing rate as a medium for conducting business and disseminating information. Even with evolving standards and technology, the ability to thoroughly analyze the usage of a Web site remains, and will grow, as an importan...

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Bibliographic Details
Main Authors: LU CHI-TSUN, 呂季樽
Other Authors: CHEN PO-ZUNG
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/02248820545009472192
Description
Summary:碩士 === 淡江大學 === 資訊工程學系 === 92 === The World Wide Web continues to expand at an amazing rate as a medium for conducting business and disseminating information. Even with evolving standards and technology, the ability to thoroughly analyze the usage of a Web site remains, and will grow, as an important capability for Web administrators. The recent years have seen the flourishing of research in the area of Web Mining and specifically of Web Usage Mining. Since the early papers published in the mid 1990s, more than 400 papers on Web Mining have been published; more or less than 150 papers, of the overall 400, have been before 2001; around the 50% of these papers regarded Web Usage Mining. Web Usage Mining is the application of data mining techniques to large Web data repositories in order to extract usage patterns. The content of this report is to discuss how to make use of the concept and technology of Web Usage Mining to find out the requirement and habit of user from Internet.