Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Abstract— We propose a packet sampling strategy called fixedperiod sampling, which selects at most one packet in every fixedlength period. Under the fixed-period sampling, the...
The creation of parameter study suites has recently become a more challenging problem as the parameter studies have become multi-tiered and the computational environment has becom...
Maurice Yarrow, Karen M. McCann, Rupak Biswas, Rob...
In many application domains, classification tasks have to tackle multiclass imbalanced training sets. We have been looking for a CBA approach (Classification Based on Association r...
Although companies are more and more developing complex networks of connections with their partners and customers and shifting their focus towards expanding the knowledge manageme...