Data mining technique for collaborative server log file analysis
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
From log files to valuable information using data mining techniques
ICOSSSE'05 Proceedings of the 4th WSEAS/IASME international conference on System science and simulation in engineering
Data mining technique for collaborative server activity analysis
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
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An ever-increasing amount of information is being stored in electronic form, both on the Internet and on corporate Intranets. Beyond the effort expended in creating such knowledge bases comes the task of raising users' awareness of the availability of information and encouraging the use of it. Without constant use and feedback, such stores turn from valuable living resources into static outdated libraries. In this case study we show how an understanding of users' interactions with knowledge is used to facilitate and encourage further use of that knowledge. By capturing the significant patterns in user behavior, it is possible to determine which sections of a knowledge base are being used, how they are being used, and by whom. We then consider groupings of like users and develop communities of interest such as active groups of knowledge workers who not only access common areas of knowledge, but also behave in similar ways when doing so. A deeper understanding of how knowledge is used also facilitates the ongoing maintenance and structuring of that knowledge.