Invention Grant
- Patent Title: Automated discovery of causal relationships in mixed datasets
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Application No.: US17097508Application Date: 2020-11-13
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Publication No.: US11763325B2Publication Date: 2023-09-19
- Inventor: Ayush Chauhan , Vineet Malik , Sourav Suman , Siddharth Jain , Gaurav Sinha , Aayush Makharia
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06Q30/0201
- IPC: G06Q30/0201 ; G06F16/901 ; G06N20/00 ; G06N7/01

Abstract:
Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.
Public/Granted literature
- US20220156759A1 AUTOMATED DISCOVERY OF CAUSAL RELATIONSHIPS IN MIXED DATASETS Public/Granted day:2022-05-19
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