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:
Jul. 18, 2023

Filed:

Mar. 14, 2019
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Sunny Dhamnani, Bangalore, IN;

Dhruv Singal, New York, NY (US);

Ritwik Sinha, Kolkata, IN;

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/025 (2023.01); G06F 16/901 (2019.01); G06F 18/243 (2023.01); G06F 18/2115 (2023.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/9014 (2019.01); G06F 18/2115 (2023.01); G06F 18/24323 (2023.01); G06N 5/025 (2013.01); G06N 7/01 (2023.01);
Abstract

An IDS generator determines multiple classes for electronic data items. The IDS generator determines, for each class, a class-specific candidate ruleset. The IDS generator performs a differential analysis of each class-specific candidate ruleset. The differential analysis is based on differences between result values of a scoring objective function. In some cases, the differential analysis determines at least one of the differences based on additional data structures, such as an augmented frequent-pattern tree. A probability function based on the differences is compared to a threshold probability At least one testing ruleset is modified based on the comparison. The IDS generator determines, for each class, a class-specific optimized ruleset based on the differential analysis of each class-specific candidate ruleset. The IDS generator creates an optimized interpretable decision set based on combined class-specific optimized rulesets for the multiple classes.


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