Improve Quality in User Pattern Mining Approach Using Two Level K-means Clustering Methodology |
Author(s): |
| Mr. Dushyantsinh Rathod , Rai University,Dholka; Dr. Samrat Khanna, ISTAR,VVNAGAR; Mr. Vijay Gadhavi, C.U.Shah University,Wadhwan |
Keywords: |
| Web Usage Mining (WUM); Data cleaning; web log mining; Web Page Mining; Preprocessing |
Abstract |
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Data cleaning is the process of removing the irrelevant data from the datasources such as log files. Data cleaning perform in the Data Preprocessing and Web Usage Mining. There is lots of work on data cleaning of web server logs irrelevant items and useless data can not completely removed and Overlapped data causes difficulty during page ranking. So we are introducing Two-level clustering method. This paper presents an overview of web usage mining, its techniques and also provides a summary of Web Log Cleaner Web Log Cleaner can filter out some irrelevant, inconsistent data based on the common of their URLs and it is going to improving the data quality, performance and efficiency of Web Log files. |
Other Details |
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Paper ID: IJSRDV4I10225 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 351-353 |
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