Searching of data structures in pre-processing data for a machine learning classifier
AssigneeCarnegie Mellon University
InventorsJonathan Cagan, Phil LeDuc, Mark Whiting
Life of this patent
Estimating the term…
Loading patent…
AssigneeCarnegie Mellon University
InventorsJonathan Cagan, Phil LeDuc, Mark Whiting
Estimating the term…
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.
A data processing system configured to pre-process data for a machine learning classifier, the data processing system comprising:
A data processing system configured to pre-process data for a machine learning classifier, the data processing system comprising:
Dependencies are inferred from the claim text.