Invention Grant
- Patent Title: Classification of time series data
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Application No.: US16872549Application Date: 2020-05-12
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Publication No.: US11455322B2Publication Date: 2022-09-27
- Inventor: Xiang Yu Yang , Deng Xin Luo , Jing Du , Zhong Fang Yuan , Tong Liu , Li Jia Lu
- 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
- Agent Stosch Sabo
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F16/28 ; G06F16/901 ; G06N20/00 ; G06Q30/04 ; G06Q20/14 ; G06F16/56

Abstract:
Described are techniques for determining statistical properties of time series data. The techniques include a method comprising graphing, from time series data, a time series data graph. The method further comprises iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold. The first segmentation scheme can be selected from: an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme. The method further comprises associating a classification to the time series data based on the first segmentation scheme. The classification can be indicative of one selected from: stationarity of the time series data, periodicity of the time series data, and trending of the time series data.
Public/Granted literature
- US20210357431A1 CLASSIFICATION OF TIME SERIES DATA Public/Granted day:2021-11-18
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