Discovering Rare Data Sets Using Infrequent Weighted Itemset Mining
To focus on the rare data sets mining, which has become an active research in data mining applications. When the need is to minimize cost and maximize profit, finding infrequent data correlations, i.e., discovering itemsets whose frequency of occurrence in the analyzed data is less than or equal to a maximum threshold, is more effective than mining frequent data. Infrequent itemset discovery is applicable to data coming from different real-life applications. IWI miner algorithm is proposed which is designed specifically for finding rare itemsets experimental results show efficiency and effectiveness of the proposed approach.