National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011 |
Foundation of Computer Science USA |
RTMC - Number 3 |
May 2012 |
Authors: Indu Singh, Gagandeep Kaur |
d765cbaf-8bab-4a50-b788-4d736256ca51 |
Indu Singh, Gagandeep Kaur . Indirect Correlations: Significance In Web Mining. National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011. RTMC, 3 (May 2012), 36-40.
"direct" association rules reflect relationships existing between items that relatively often co-occur in common transactions direct association rules are dedicated to describe the direct correlations among the items in a frequent item set, indirect association rules are dedicated to describe the indirect correlations between the two items in a infrequent item set. Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. When a pair of items, (A, B), which seldom. occur together in the same transaction, are highly dependent on the presence of another item set C, then pair (A, B) are said to be indirectly associated via C . In this paper indirect association rules and significance of web usage mining are explained. How associations rules are beneficial for web usage mining is explained.