Invention Grant
- Patent Title: Multi-dimensional time series event prediction via convolutional neural network(s)
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Application No.: US15455241Application Date: 2017-03-10
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Publication No.: US10891545B2Publication Date: 2021-01-12
- Inventor: Wei Sun , Roman Vaculin , Jinfeng Yi , Nianjun Zhou
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06N5/02

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.
Public/Granted literature
- US20180260697A1 MULTI-DIMENSIONAL TIME SERIES EVENT PREDICTION VIA CONVOLUTIONAL NEURAL NETWORK(S) Public/Granted day:2018-09-13
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