Web Log Cleaning for Mining of Web Usage Patterns
Web usage mining (WUM) is a type of web mining, which exploits data mining techniques to extract valuable information from navigation behavior of World Wide Web users. The data should be preprocessed to improve the efficiency and ease of the mining process. So it is important to define before applying data mining techniques to discover user access patterns from web log. The main task of data preprocessing is to prune noisy and irrelevant data, and to reduce data volume for the pattern discovery phase. This paper mainly focus on data preprocessing stage of the first phase of web usage mining with activities like field extraction and data cleaning algorithms. Field extraction algorithm performs the process of separating fields from the single line of the log file. Data cleaning algorithm eliminates inconsistent or unnecessary items in the analyzed data.
Web Usage Mining Data Preprocessing Log File Analysis
Theint Theint Aye
University of Computer Studies, Mandalay
国际会议
上海
英文
490-494
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）