US 11,734,317 B2
Automatic analysis of difference between multi-dimensional datasets
Rui Ding, Redmond, WA (US); Zhouyu Fu, Redmond, WA (US); Shi Han, Redmond, WA (US); Haidong Zhang, Redmond, WA (US); and Dongmei Zhang, Redmond, WA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Mar. 15, 2022, as Appl. No. 17/694,799.
Application 17/694,799 is a continuation of application No. 16/620,381, granted, now 11,308,134, previously published as PCT/US2018/034018, filed on May 23, 2018.
Prior Publication US 2022/0207062 A1, Jun. 30, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/28 (2019.01); G06F 16/22 (2019.01); G06F 16/248 (2019.01)
CPC G06F 16/288 (2019.01) [G06F 16/2264 (2019.01); G06F 16/248 (2019.01); G06F 16/285 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a processor; and
memory coupled to the processor, the memory comprising computer executable instructions that, when executed by the processor, performs a method comprising:
receiving an analysis request for a first dataset and a second dataset, each of the first data set and the second dataset including data items corresponding to a plurality of dimensions;
comparing the data items corresponding to a first dimension of the plurality of dimensions in the first dataset and the second dataset;
determining a first set of influence factors associated with the first dimension, each of the first set of influence factors:
indicating a reason for a difference between the first dataset and second dataset from a perspective of the first dimension; and
belonging to at least one of:
a negative correlation category;
a cross-origin regression category;
a general regression category; or
an individual analysis category; and
presenting an analysis result related to the difference between the first dataset and the second dataset.