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Pre-proccesing log data for User Behavior Analysis

عنوان مقاله: Pre-proccesing log data for User Behavior Analysis
شناسه ملی مقاله: IRANWEB03_004
منتشر شده در سومین کنفرانس بین المللی وب پژوهی در سال 1396
مشخصات نویسندگان مقاله:

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

خلاصه 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.

کلمات کلیدی:
user behaviour analysis; web usage mining; ; pre-processing; log data

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/657761/