Invention Grant
- Patent Title: Time-series analysis based on world event derived from unstructured content
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Application No.: US14328172Application Date: 2014-07-10
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Publication No.: US09646077B2Publication Date: 2017-05-09
- Inventor: Lipika Dey , Ishan Verma , Arpit Khurdiya , Diwakar Mahajan , Gautam Shroff
- Applicant: TATA CONSULTANCY SERVICES LIMITED
- Applicant Address: IN
- Assignee: TATA CONSULTANCY SERVICES LIMITED
- Current Assignee: TATA CONSULTANCY SERVICES LIMITED
- Current Assignee Address: IN
- Agency: Barnes & Thornburg LLP
- Priority: IN2339/MUM/2013 20130711
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06Q10/10

Abstract:
The present subject matter relates to analysis of time-series data based on world events derived from unstructured content. According to one embodiment, a method comprises obtaining event information corresponding to at least one world event from unstructured content obtained from a plurality of data sources. The event information includes at least time of occurrence of the world event, time of termination of the world event, and at least one entity associated with the world event. Further, the method comprises retrieving time-series data pertaining to the entity associated with the world event from a time-series data repository. Based on the event information and the time-series data, the world event is aligned and correlated with at least one time-series event to identify at least one pattern indicative of cause-effect relationship amongst the world event and the time-series event.
Public/Granted literature
- US20150019513A1 TIME-SERIES ANALYSIS BASED ON WORLD EVENT DERIVED FROM UNSTRUCTURED CONTENT Public/Granted day:2015-01-15
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