TY  - JOUR
TI  - Fault Identification from Web Log Files by Pattern Discovery
AU  - M. S. Anbarasi
AU  -  B. Vasanthi
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2017/04/30
PY  - 2017
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT172278
VL  - 2
IS  - 2
SP  - 579	
EP  - 583
AB  - In current scenario, the existing Web log files are informative based on website. However, even fault occurrence is high as the data increases tremendously.  Because of fault occurrence, the browser provides fault pages with the pages to be searched pages. The manual process is not possible because of large amount of complex data. In the existing systems, identifying failure occurrence in web log file is difficult and time-consuming task. The basic reason is the large size and complexity of these systems, and the vast amount of monitoring data they generate. In existing system, fault identification technique does not provide maximum accuracy to improve the website. To overcome this problem the proposed system applying faults identification technique in efficient way using naïve sting matching algorithm with enhanced graph grammar[2] applied and then discover fault patterns from that browser find out root cause of failure.