Broad-spectrum studies of log file analysis
Proceedings of the 22nd international conference on Software engineering
Online and Incremental Mining of Separately-Grouped Web Access Logs
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
Adding Availability to Log Services of Untrusted Machines
ACSAC '99 Proceedings of the 15th Annual Computer Security Applications Conference
Testing using Log File Analysis: Tools, Methods, and Issues
ASE '98 Proceedings of the 13th IEEE international conference on Automated software engineering
Towards Knowledge Discovery from WWW Log Data
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
A System Architecture of Intelligent-Guided Browsing on the Web
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 4 - Volume 4
LODAP: a log data preprocessor for mining web browsing patterns
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Mining usage profiles from access data using fuzzy clustering
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Web 2.0 proxy: upgrading websites from web 1.0 to web 2.0
WSEAS TRANSACTIONS on COMMUNICATIONS
Analysis on the adaptive scaffolding learning path and the learning performance of e-learning
WSEAS Transactions on Information Science and Applications
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More and more enterprises use network to communicate with the suppliers or the customers, and also in receiving order forms, data transmission, produces goods, stock warehousing in all enterprise management procedure, carry on to the e-movement and enterprise competitive ability, this act not only may save the production cost, moreover may fast reflect the correlation information. But the enterprise owners or the website administrators often cannot judge precisely whether their commercial websites play the leading role in marketing function. In the settlement of this problem, an intelligent website analysis software can often provide good and effective assistance to business owners or website administrators, and then improve the marketing results of the websites. The website analysis software usually uses the log files in the system to produce statistical-related data, and then obtains the useful information through the analysis. In this paper, we discuss the implementation of an enterprise website analysis software we have developed, and by the modification and the expansion the Analog from free software to analyze the log files in the Apache web server, provides more important information about visitors. We provide a user friendly interface in the system for the enterprise administrators to accumulate the important information of log files, in establishing the system, we add on functions which detect illegal information, make the protective action, and provide the dynamic E-Mail report function to the user.