A Comparative Study of Different Log Analyzer Tools to Analyze User Behaviors

Abstract

With the explosive growth of information available on internet, WWW become the most powerful platform to broadcast, store and retrieve information. As many people move to internet to gather information, analyzing user behavior from web access logs can be helpful to create adaptive system, recommender system and intelligent e-commerce applications. Web access log files are the files that contain information about interaction between users and the websites with the use of internet. It contains the details like User name, IP Address, Time Stamp, Access Request, number of bytes transferred, result status, URL that referred. To analyze such user behavior, a variety of analyzer tools exist. This paper provides a comparative study between famous log analyzer tools based on their features and performance.
DOI: 10.17762/ijritcc2321-8169.1505108