Preprocessing of Educational Institution Web Log Data for
Finding Frequent Patterns Using Weighted Association Rule Mining
Technique In the Internet world, web search is mandatory to all.
Millions of searches performed for each second in a web and that
search information are stored in Web Server Log. Web Log data
are massive and erroneous stream data. Handling huge data and
incorrect data processing are two significant problems in Web
Data Mining. Processing of huge data is a complex task, which
increases processing time and memory occupation that will reduce
the performance of the system. Incorrect data sometimes produce
an erroneous result that reduces the quality of data. To handle
this problem web Miner's has introduced several preprocessing
methods to reduce the log data size and to eliminate incorrect
records, which lead to improved quality, quantity and
performance.