Improved algorithm for mining weighted frequent itemsets
Jinxin Wang · Computer Engineering and Applications Journal · 2011
The shortages of the New-Apriori and Mining Weighted Frequent Itemsets(MWFI) are analyzed,and the New-MWFI algorithm for mining weighted frequent itemsets is proposed.In this algorithm the transactions are classified according to the item's weight and the weighted frequent itemsets are mined within each category in turn.Since the frequent itemsets of each category satisfy the Apriori's property,the Apriori algorithm or other improved algorithms can be used,thus the deficiencies of the original algorithms can be overcome successfully.Experiments show that the new algorithm is more effective in mining the weighted frequent itemsets from the dataset.