Identification and suggestion of rules using machine learning

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United States of America Patent

PATENT NO 11907867
APP PUB NO 20200387835A1
SERIAL NO

16565183

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Abstract

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Pure machine learning classification approaches can result in a “black box” solution where it is impossible to understand why a classifier reached a decision. This disclosure describes generating new classification rules leveraging machine learning techniques. New rules may have to meet evaluation criteria. Legibility of those rules can be improved for understanding. A machine learning classifier can be created that is used to identify possible candidate classification rules (e.g. from a group of decision trees such as a random forest classifier). Classification rules generated with the assistance of machine learning may allow for identification of transaction fraud or other classifications that a human analyst would be unable to identify. A selection process can identify which possible candidate rules are effective. The legibility of those rules can then be improved so that they can be more easily understood by humans.

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Patent Owner(s)

Patent OwnerAddress
PAYPAL INC2211 NORTH FIRST STREET SAN JOSE CA 95131

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ahmad, Ayaz Hyderabad, IN 5 24
Golsefid, Samira San Jose, US 2 15
Poli, Charles London, GB 4 18
Sandepudi, Ravi Hyderabad, IN 2 0

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