Pre-proccesing log data for User Behavior Analysis
محل انتشار: سومین کنفرانس بین المللی وب پژوهی
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 542
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شناسه ملی سند علمی:
IRANWEB03_004
تاریخ نمایه سازی: 29 مهر 1396
چکیده مقاله:
User behavior modeling is one of web usage mining applications helping to understand the behavior of a user while interacting with the Web. Since the activity information of users are recorded in web log files, log data is the starting point for any web mining process. Thus, the quality of results strongly depends on the quality of input data. In this paper, the result of our scenario-based experiment in preprocessing log data for analyzing user behavior is presented. The proposed method is practically applied on Ferdowsi University of Mashhad (FUM) log data and the results are discussed.
کلیدواژه ها:
نویسندگان
Sosan Naderi
Web Technology Lab., Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran
Fatemeh Khojasteh
Web Technology Lab., Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran
Behshid Behkamal
Assistant Professor, Dept. of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran