CONVERSION LOG DATASET INTO UNDERSTANDABLE FORMAT FOR DATA MINING
Ali Azimi Kashani, Alimohamad Monjezi Noori, Hadi Mahriyar · 2014
In recent years, the importance of log analysis has grown. Log data constitute a relevant aspect in understanding user behaviour. The volume of log is increasing rapidly and the format is differ to each organization. Having knowledge in analysing log would be an important part in log analysis. An efficient data pre-processing technique can help to improve the quality of data thus help to improve the accuracy and the efficiency of the subsequent data mining analysis. In this research, systematic analysis is done on existing techniques to transform raw dataset into readable format. Hence, transforming the webserver logs into a database for data mining analysis with the aims to help researchers gather knowledge about log data.