| 摘要 |
Sets of integrated data including history data and time-invariant data grouped for each analysis target are classified based on an inclusion between an amount of change of a time-varying item included in sets of integrated data and a numerical range expressed by an event sequence and also based on a common time-invariant item, to generate a prediction model in which a prediction-target event sequence expressing an amount of change of the event item included in each set of integrated data after being classified and an amount of time required for reaching the amount of change is associated with the event sequence together with a classification condition related to the classification.
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