Invention Grant
- Patent Title: Method and system for model fitting to hierarchical time series cluster
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Application No.: US16059889Application Date: 2018-08-09
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Publication No.: US11107014B2Publication Date: 2021-08-31
- Inventor: Prasanta Kumar Panda
- Applicant: Tata Consultancy Services Limited
- Applicant Address: IN Mumbai
- Assignee: Tata Consultancy Services Limited
- Current Assignee: Tata Consultancy Services Limited
- Current Assignee Address: IN Mumbai
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner LLP
- Priority: IN201721028534 20170810
- Main IPC: G06Q10/04
- IPC: G06Q10/04 ; G06F17/18 ; G06K9/62 ; G06N3/02 ; G06N5/04 ; G06N7/00

Abstract:
Method and system for model fitting to hierarchical time series clusters is described. A plurality of time series to be analyzed are clustered as hierarchical time series clusters using Dynamic Time Warping (DTW) as the optimal distance measure to create time series hierarchical clusters. The method disclosed recognizes least dissimilarity time series in the hierarchical time series clusters, and a best fit model is identified for the time series. The same model is continued up the hierarchy along the branch of the hierarchical time series clusters till the model identified satisfies Error Tolerance (ET) and Error Difference (ED) criteria. The method reduces the model fitting time or model building time by more than 50%.
Public/Granted literature
- US20190050763A1 METHOD AND SYSTEM FOR MODEL FITTING TO HIERARCHICAL TIME SERIES CLUSTER Public/Granted day:2019-02-14
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