data mining - Building an Intrusion Detection System using fuzzy logic -


i want develop intrusion detection system (ids) might used 1 of kdd datasets. in present case, dataset has 42 attributes , more 4,000,000 rows of data.

i trying build ids using fuzzy association rules, hence question: considered best tool fuzzy logic in context?

fuzzy association rule algorithms extensions of normal association rule algorithms apriori , fp-growth in order model uncertainty using probability ranges. assume data consists of quite uncertain measurements , therefore want group measurements in more general ranges e.g. 'low'/'medium'/'high'. there on can use normal association rule algorithm find rules ids (i'd suggest fp-growth has lower complexity apriori large data sets).


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