Michael J Woods

US Patent:

20180032876, Feb 1, 2018

Filed:

Jul 28, 2016

Appl. No.:

15/221988

Inventors:

- Armonk NY, US
YEA JANE CHU - CHICAGO IL, US
JING-YUN SHYR - NAPERVILLE IL, US
MICHAEL D. WOODS - CHICAGO IL, US

International Classification:

G06N 5/02
G06F 7/08
G06F 17/30

Abstract:

A method, system, and/or computer program product analyses event transactional related data to generate insights and predictions, which are pre-created to efficiently respond to requests for prediction/forecasting information, in order to improve the operation of the prediction-generating computer. One or more processors receive a series of structured data, where each entry (E) from the series of structured data has one or more time fields Tand one or more attributes A. In response to determining that the series of structured data is transactional, one or more processors select a time field Tthat meets an aggregation criterion, and then aggregate the transactional data from the time field Tinto a time series data format. One or more processors consolidate results from a time series analysis and a regression analysis of the transformed transactional data to create a consolidated result, which is used to respond to a request for prediction/forecasting information.