I am working with sequence data which are long lists of malware win-api calls. I am trying to cast the problem of identifying 'malware behavior' into one of finding sequential patterns. I treat each api call as a single item Itemset. The number of different possible items (api calls) is quite large. 

Now, when I apply the SPADE algorithm (see also, Zaki, SPADE: An Efficient Algorithm for Mining Frequent Sequences, Machine Learning, 42, 31–60, 2001) I run into memory problems.
Is there a better alternative way to find sequential patterns among large high vocabulary sequences?


Question: What is temptation?
Answer: It is what satan throws at you if you bite you sin. How to stop it. Don't take the bate. There is no such thing as sudden sin. It happen just like this you hear it in your ear, or you see it with eyes, then you want it with you heart so much you say it out your mouth then you do it "sin", seed time, it grew, then bam harvest you just did the will of satan. Turn that the right way and do the will God of Hearing the word, see the word want in your heart say it out your mouth harvest comes your not falling into temptation any more because the word is taking up all the space in your heart. And he that has even more shall be given.