suhwan Lee
20.09.25
- Apriori algorithm with fuzzified itemset mining is done. Each label dataframe has unique rule only assigned for the label.
- Now, the next step is to construct classifier and plot network. Then compare the network and prediction performance to normal ARM method.
20.09.15
- Still writing code for generating association rules from fuzzified item set dataframe
20.09.14
- Update quantitative2fuzzy.py file generating fuzzified event log.
- Columns of fuzzied event log are caseid, label, and membership label while converting quantitative value to assigned memebership names
- That is, number of columns are not prefix length * possible memebership labels.
- Column explanation:
Quantitative atts_event order_membership label
ex) Duration_1_SS
Quantitatie atts = Duration
event order = 1 membership label = SS