US 11,860,727 B2
Data quality-based computations for KPIs derived from time-series data
Vitobha Munigala, Secunderabad (IN); Diptikalyan Saha, Bangalore (IN); Sattwati Kundu, Bangalore (IN); and Geetha Adinarayan, Bangalore (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Mar. 29, 2022, as Appl. No. 17/656,886.
Application 17/656,886 is a continuation of application No. 17/105,036, filed on Nov. 25, 2020, granted, now 11,314,584.
Prior Publication US 2022/0237074 A1, Jul. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06N 5/04 (2023.01); G06F 16/23 (2019.01)
CPC G06F 11/0793 (2013.01) [G06F 11/0745 (2013.01); G06F 11/0751 (2013.01); G06F 16/2379 (2019.01); G06N 5/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer system comprising:
one or more processing devices and at least one memory device operably coupled to the one or more processing devices, the one or more processing devices are configured to:
determine one or more predicted replacement values for one or more potentially erroneous data instances in a time series data stream;
resolve the one or more potentially erroneous data instances with one predicted replacement value of the one or more predicted replacement values in the time series data stream; and
generate a plurality of simulation snapshots through point-based simulations comprising:
generate a plurality of inferred data points from the one or more potentially erroneous data instances comprising alternately assigning one of a discrete correct label and a discrete erroneous label to each potentially erroneous data instance of the one or more potentially erroneous data instances.