Method and system to predict the likelihood of topics

摘要

The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.

主权项

1. A computer based system for predicting the value of a topic, said system comprising:
a processor configured to execute machine instructions on a set of data; the machine instructions including: a means for transforming the set of data to create a topic profile of at least one topic over a dimension wherein the dimension is time, and the topic profile comprising a plurality of topic profile values of the at least one topic over a plurality of time values of the dimension; a means for predicting a predicted topic value of the at least one topic at a predicted dimension value of the dimension wherein the predicted dimension value is a future time; and wherein the means for predicting the predicted topic value further comprises: identifying a base dimension value having a base topic profile, the topic profile comprises a plurality of topics having at least one topic value, identifying the predicted dimension value having a difference dimension value from the base dimension value, analyzing the topic profile over at least one dimension value to identify a most similar topic profile to the base topic profile, the dimension value at the most similar topic profile being a selected dimension value, and selecting one of the at least one topic value from the topic profile at a difference dimension value from the selected dimension value as the predicted topic value at the predicted dimension value.