Abstract: The explosive growth of Internet has given rise to many websites which maintain large amount of user information. To utilize this information, identifying usage pattern of users is very important. Web usage mining is one of the processes of finding out this usage pattern and has many practical applications. Our paper discusses how association rules can be used to discover patterns in web usage mining. Our discussion starts with preprocessing of the given weblog, followed by clustering them and finding association rules. These rules provide knowledge that helps to improve website design, in advertising, web personalization etc.

Ms chandra M, Mr Rahul Jadhav, Ms Dipa Dixit, Ms Rashmi J, Ms Anjali Nehete and Ms Trupti Khodkar. “Pattern Discovery Using Association Rules”. International Journal of Advanced Computer Science and Applications (IJACSA) 2.12 (2011). http://dx.doi.org/10.14569/IJACSA.2011.021210

@article{M2011,
title = {Pattern Discovery Using Association Rules},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.021210},
url = {http://dx.doi.org/10.14569/IJACSA.2011.021210},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {12},
author = {Ms chandra M and Mr Rahul Jadhav and Ms Dipa Dixit and Ms Rashmi J and Ms Anjali Nehete and Ms Trupti Khodkar}
}