The Role of Data Preprocessing System on Web Log Files for Mining Students Access Logs
A. Dhana Praveena1, V. Selvi2

1A. Dhana Praveena*, Research Scholar, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, Tamilnadu, India.
2Dr. V. Selvi, Assistant Professor, Department of Computer Science, Mother Teresa Women’s university, Kodaikanal, Tamilnadu, India. 

Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1045-1050 | Volume-9 Issue-1, May 2020. | Retrieval Number: F8354038620/2020©BEIESP | DOI: 10.35940/ijrte.F8354.059120
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Abstract: Nowadays, WWW has grown into significant and vast data storage. Every one of clients’ exercises will be put away in log record. The log file shows the eagerness on the website. With an abundant use of web, the log file size is developing hurriedly. Web mining is a utilization of information digging innovations for immense information storehouses. It is the procedure of uncover data from web information. Before applying web mining procedures, the information in the web log must be pre-processed, consolidated and changed. It is essential for the web excavators to use smart apparatuses so as to discover, concentrate, channel and assess the ideal data. The information preprocessing stage is the most significant stage during the time spent web mining and is basic and complex in fruitful extraction of helpful information. The web logs are circulated in nature also they are non-versatile and unfeasible. Subsequently we require a broad learning calculation so as to get the ideal data. 
Keywords: Cleaning, Pre-processing, Session identification, User identification, Web log files.
Scope of the Article: Data Mining