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1. (WO2018162110) MULTI-DIMENSIONAL TIME SERIES EVENT PREDICTION VIA CONVOLUTIONAL NEURAL NETWORK(S)

Pub. No.:    WO/2018/162110    International Application No.:    PCT/EP2017/083850
Publication Date: Fri Sep 14 01:59:59 CEST 2018 International Filing Date: Thu Dec 21 00:59:59 CET 2017
IPC: G06N 3/04
Applicants: INTERNATIONAL BUSINESS MACHINES CORPORATION
IBM UNITED KINGDOM LIMITED
Inventors: SUN, Wei
VACULIN, Roman
YI, Jinfeng
ZHOU, Nianjun
Title: MULTI-DIMENSIONAL TIME SERIES EVENT PREDICTION VIA CONVOLUTIONAL NEURAL NETWORK(S)
Abstract:
Techniques that facilitate machine learning using multi-dimensional time series data are provided. In one example, a system includes a snapshot component and a machine learning component. The snapshot component generates a first sequence of multi-dimensional time series data and a second sequence of multi-dimensional time series data from multi-dimensional time series data associated with at least two different data types generated by a data system over a consecutive period of time. The machine learning component that analyzes the first sequence of multi-dimensional time series data and the second sequence of multi-dimensional time series data using a convolutional neural network system to predict an event associated with the multi- dimensional time series data.