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Analyzing Logs from Proxy Server and Captive Portal Using K-Means Clustering Algorithm

2020; RELX Group (Netherlands); Linguagem: Inglês

1556-5068

Rolysent K. Paredes, Alberto L. Yoldan, Jonard B. Bolanio,

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The traffic on World Wide Web is rapidly increasing, and an enormous amount of generated data due to users’ various interactions with websites. Thus, web data becomes one of the most valuable resources for information retrievals and knowledge discoveries. The study utilized the logs from the Proxy Server and Captive Portal database and used Web Usage Mining to discover useful and exciting patterns from the web data. Moreover, k-means clustering algorithm was used to provide specific groups of the user access patterns specifically for the number of user sessions and websites accessed by the network users. Based on the results, it had been found out that most of the time, users are more engage in utilizing the internet.