Automated machine learning feature processing

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United States of America Patent

PATENT NO 11443224
APP PUB NO 20180046939A1
SERIAL NO

15249790

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Abstract

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Systems and methods for machine learning feature processing are disclosed. An example method includes: selecting a predefined number of machine-based transactions; identifying a first set of features based on the predefined number of machine-based transactions; and applying a machine learning feature selection algorithm to identify a second set of features. The second set of features is smaller than the first set of features, and the second set of features includes no more than a predefined number of features. The method also includes constructing a decision tree based on the second set of features, wherein the decision tree has a depth that is less than a predefined depth. The method optionally includes limiting the total number of features in the second set to no greater than the predefined number of features.

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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
Meron, Avishay Gush-Dan, IL 15 183
Ramanathan, Venkatesh San Jose, US 24 857
Valler, Roy Tel-Aviv, IL 1 151

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