FEATURE EXTRACTION METHOD AND APPARATUS FOR USE IN CASUAL EFFECT ANALYSIS

摘要

A feature extraction method and apparatus for use in causal effect analysis, pertaining to data analysis, which includes: determining a feature time point for use in causal effect analysis on a resultant event; acquiring a predetermined number of time intervals according to the determined feature time point, where the predetermined number of time intervals are prior to the determined feature time point, and the interval length from the time interval to the determined feature time point is in positive correlation to the span of the time interval; and extracting features for use in causal effect analysis on the resultant event according to event information of potential causal events occurred in each of the time intervals. According to the present disclosure, considering the short-period and long-period potential causal event, the number of extracted features is controlled, thereby reducing the calculation workload, preventing overfitting, and improving the accuracy in causal effect analysis.

主权项

1. A feature extraction method for use in causal effect analysis, comprising:
determining a feature time point for use in causal effect analysis on a resultant event; acquiring a predetermined number of time intervals according to the determined feature time point, wherein the predetermined number of time intervals are prior to the determined feature time point, and an interval length from a time interval to the determined feature time point is in positive correlation to a span of the time interval; and extracting features for use in causal effect analysis on the resultant event according to event information of potential causal events occurred in each of the predetermined number of time intervals.