Mining For Significant Rare Events From Large Databases
Suman Katragadda
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Mining For Significant Rare Events From Large Databases

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In this work, we present a novel algorithm for extracting valuable knowledge from large databases. Rare events are difficult to mine due to very little support they possess. Our algorithm, SARG (Significant Association Rule Generator) helps us to mine for significant patterns (including rare events) from large databases by defining the support fraction per cell in the contingency table instead of per the entire contingency table. It uses a combination of both support confidence and chi square statistic framework for mining significant patterns from vast raw data. In this algorithm, we introduc...