The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2019

Filed:

Mar. 09, 2017
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Geetika Sharma, Gurgaon, IN;

Karamjit Singh, Gurgaon, IN;

Garima Gupta, Gurgaon, IN;

Gautam Shroff, Gurgaon, IN;

Puneet Agarwal, Noida, IN;

Aditeya Pandey, Gurgaon, IN;

Kaushal Ashokbhai Paneri, Gurgaon, IN;

Gunjan Sehgal, Gurgaon, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/30 (2019.01); G06F 16/2455 (2019.01); G06N 20/00 (2019.01); G06F 16/248 (2019.01); G06F 16/901 (2019.01); G06N 7/00 (2006.01); G06F 16/26 (2019.01); G06F 16/25 (2019.01); G06F 16/2458 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2456 (2019.01); G06F 16/248 (2019.01); G06F 16/2462 (2019.01); G06F 16/256 (2019.01); G06F 16/26 (2019.01); G06F 16/9027 (2019.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

System and method for visual Bayesian data fusion are disclosed. In an example, a plurality of datasets associated with a topic are obtained from a data lake. Each of the plurality of datasets include information corresponding to various attributes of the topic. Further, the plurality of datasets are joined to obtain a joined dataset. Furthermore, distribution associated with a target attribute is predicted using Bayesian modeling by selecting a plurality of attributes (k) based on mutual information with the target attribute in the joined dataset, learning a minimum spanning tree based Bayesian structure using the selected attributes and the target attribute, learning conditional probabilistic tables at each node of the minimum spanning tree based Bayesian structure; and predicting the distribution associated with the target attribute by querying the conditional probabilistic tables, thereby facilitating visual Bayesian data fusion.


Find Patent Forward Citations

Loading…