Interesting Observations (2008)
Selim Mimaroglu, Susan Paulsen, Wei Wang, Nobel Jan Prins, Cheng Yang, Usama Fayyad, ...
[1] is the main reference of this presentation.
Mining approximate frequent itemsets in the presence of noise: Algorithm and analysis (2006)
Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew Nobel, Jan Prins
Frequent itemset mining is a popular and important first step in the analysis of data arising in a broad range of applications. The traditional “exact ” model for frequent itemsets requires that...
Mining approximate frequent itemsets in the presence of noise: Algorithm and analysis (2006)
Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew Nobel, Jan Prins
Frequent itemset mining is a popular and important first step in the analysis of data arising in a broad range of applications. The traditional “exact ” model for frequent itemsets requires that...
Mining Approximate Frequent Itemset from Noisy Data (2005)
Jinze Liu, Susan Paulsen, Wei Wang, Andrew Nobel, Jan Prins
Frequent itemset mining is a popular and important first step in analyzing data sets across a broad range of applications. The traditional, “exact ” approach for finding frequent itemsets...
Mining Approximate Frequent Itemset from Noisy Data (2005)
Jinze Liu, Susan Paulsen, Wei Wang, Andrew Nobel, Jan Prins
Frequent itemset mining is a popular and important first step in analyzing data sets across a broad range of applications. The traditional, “exact ” approach for finding frequent itemsets...