Invention Grant
- Patent Title: Automatic frequency recommendation for time series data
-
Application No.: US16876463Application Date: 2020-05-18
-
Publication No.: US11321332B2Publication Date: 2022-05-03
- Inventor: Paul O'Hara , Ying Wu , Esther Rodrigo Ortiz , Paul O'Connor , Gabor Szabo , Artur Stulka
- Applicant: BUSINESS OBJECTS SOFTWARE LTD.
- Applicant Address: IE Dublin
- Assignee: BUSINESS OBJECTS SOFTWARE LTD.
- Current Assignee: BUSINESS OBJECTS SOFTWARE LTD.
- Current Assignee Address: IE Dublin
- Agency: Fish & Richardson P.C.
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/2458 ; G06F17/18 ; G06F16/23

Abstract:
The present disclosure involves systems, software, and computer implemented methods for automatically recommending one or more frequencies for time series data. One example method includes receiving a request for an insight analysis for an input time series included in a dataset. For each of multiple frequencies to analyze, the input time series is transformed into a frequency time series. An absolute percentage change impact factor and an absolute trend impact factor are determined for each frequency time series. A frequency interest score is determined based on the determined absolute percentage change factors and the determined absolute trend impact factors, for each time frequency time series. The frequency interest score is provided for at least some of the frequency time series.
Public/Granted literature
- US20210357401A1 AUTOMATIC FREQUENCY RECOMMENDATION FOR TIME SERIES DATA Public/Granted day:2021-11-18
Information query