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.

    Cited by: 0|Bibtex|Views60|Links
    EI
    Keywords:
    Event sequencePattern miningWindow lengthOutput-space clusteringExploratory data analysis

    Abstract:

    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

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