Size matters: choosing the most informative set of window lengths for mining patterns in event sequences
Data Mining and Knowledge Discovery, Volume 29, Issue 6, 2014.
Event sequencePattern miningWindow lengthOutput-space clusteringExploratory data analysis
In order to find patterns in data, it is often necessary to aggregate or summarise data at a higher level of granularity. Selecting the appropriate granularity is a challenging task and often no principled solutions exist. This problem is particularly relevant in analysis of data with sequential structure. We consider this problem for a s...More
Full Text (Upload PDF)