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:
Feb. 13, 2024

Filed:

Mar. 20, 2018
Applicant:

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

Jonathan Cagan, Pittsburgh, PA (US);

Phil LeDuc, Pittsburgh, PA (US);

Mark Whiting, Pittsburgh, PA (US);

Assignee:

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/2455 (2019.01); G06N 5/046 (2023.01); G06F 16/901 (2019.01); G06F 16/36 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24564 (2019.01); G06F 16/367 (2019.01); G06F 16/9024 (2019.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01);
Abstract

A data processing system is configured to pre-process data for a machine learning classifier. The data processing system includes an input port that receives one or more data items, an extraction engine that extracts a plurality of data signatures and structure data, a logical rule set generation engine configured to generate a data structure, select a particular data signature of the data structure, identify each instance of the particular data signature in the data structure, segment the data structure around instances of the particular data signature, identify one or more sequences of data signatures connected to the particular data signature, and generate a logical ruleset. A classification engine executes one or more classifiers against the logical ruleset to classify the one or more data items received by the input port.


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