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Prefix extraction and filtering

HX Haifeng Xu
JP Jianfei Pang
XY Xi Yang
ML Mei Li
DZ Dongsheng Zhao
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Using a prefix log ensures that our training data is comparable to the testing data. For example, in a complete trace consisting of a total of 5 events, we could consider up to 4 prefixes: the partial trace after executing the first event, the partial trace after executing the first and the second event, and so on. Since the large number of prefixes as compared to the number of traces slows down and causes bias in the training of the prediction models, it is common to consider prefixes up to a certain number of events only. For example, Leontjeva et al. [9] and Di Francescomarino et al. [20] limit the maximum prefix length to 20 and 21 respectively. For our data set, there are 7 events in control flow, which are list in Fig. 3. After prefix filtering according the importance of data features, we select 4 events in the acute period (within 24 h from onset) as prefix log, i.e., magnetic resonance angiography (MRA), coagulation test, anti-platelet therapy, statin treatment.

Original data features and predictive variables

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