Title:
MACHINE-DERIVED INSIGHTS FROM TIME SERIES DATA
Document Type and Number:
WIPO Patent Application WO/2024/055647
Kind Code:
A1
Abstract:
Deriving insights from time series data can include receiving subject matter expert (SME) input characterizing one or more aspects of a time series. A model template that specifies one or more components of the time series can be generated by translating the SME input using a rule-based translator. A machine learning model based on the model template can be a multilayer neural network having one or more component definition layers, each configured to extract one of the one or more components from time series data input corresponding to an instantiation of the time series. With respect to a decision generated by the machine learning model based on the time series data input, a component-wise contribution of each of the one or more components to the decision can be determined. An output can be generated, the output including the component-wise contribution of at least one of the one or more components.
Inventors:
MUKHERJEE SUMANTA (IN)
VINZAMURI BHANUKIRAN (IN)
RAYKAR VIKAS C (IN)
JATI ARINDAM (IN)
AGGARWAL NUPUR (IN)
VINZAMURI BHANUKIRAN (IN)
RAYKAR VIKAS C (IN)
JATI ARINDAM (IN)
AGGARWAL NUPUR (IN)
Application Number:
PCT/CN2023/099411
Publication Date:
March 21, 2024
Filing Date:
June 09, 2023
Export Citation:
Assignee:
IBM (US)
IBM CHINA CO LTD (CN)
IBM CHINA CO LTD (CN)
International Classes:
G06N3/0442
Foreign References:
| US11281969B1 | 2022-03-22 | |||
| CN113344018A | 2021-09-03 | |||
| JP2010067033A | 2010-03-25 | |||
| US20210084059A1 | 2021-03-18 | |||
| US10783399B1 | 2020-09-22 |
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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