A data analyst is building an association rules that will use the apriori algorithm. Why might this analyst use a minimum cutoff level for support before generating rules with her data? By establishing minimum cutoff level for support, she will avoid the removal of non-frequent itemsets from the analysis. That will ensure that the data is truly complete, and that no "hidden relationships" in the data can be missed. By establishing minimum cutoff level for support, she will removing non-frequent itemsets from the analysis. That will make the computation faster, and will also mean that the variable relationships that she identifies are more likely to be significant. O With a minimum cutoff level for support already established, she will guarantee that rules with low lift values do not end up in the data. That is important, because rules with low lift ratios are statistically insignificant. By removing itemsets with low support levels from the data, she will guarantee that stronger confidence relationships can be identified among the data that remain