Method and apparatus for prediction based on multi-source heterogeneous data

摘要

The embodiments of the present invention provide a method and apparatus for predicting based on multi-source heterogeneous data. The method comprises: acquiring, with regard to an event of a set type, at least two types of historical data which can reflect an event resu establishing a joint likelihood model of attribute data of the event of the set type and the at least two types of historical data, and detennining an optimal estimation of the attribute data according to a maximum posterior principle; and determining, with regard to an event to be predicted which is of the set type, based on a probability distribution associated with the attribute data in the joint likelihood model, a parameter in the probability distribution as a prediction result of the event to be predicted. The embodiments of the present invention use a hierarchical model to introduce data of different sources into different data layers, unify heterogeneous data in a joint likelihood model to perform analysis, and obtain a more accurate, instant and stable prediction result through effective fusion.