Thin data warning and remediation system

A patent management system for remediating insufficiency of input data for a machine learning system, the patent management system comprising:

• at least one processor;
• and
• at least one memory coupled with the at least one processor, wherein the at least one processor and the at least one memory having instructions are configured to:
• generate a plurality of data vectors using data extracted from a plurality of data sources;
• receive a user input with respect to an input data context for a prediction, wherein the input data context correspond to a subset of the plurality of data elements;
• generate an input vector based on the user input;
• determine relevant input data to perform the prediction, wherein the relevant input data is determined from a data set by applying filters based on the prediction to be performed;
• generate predicted vectors based on the relevant input data to perform the prediction;
• determine a confidence score for the prediction performed using a machine learning system;
• compare the confidence score with a threshold value, wherein the input data is expanded by modifying the input vector based on the comparison if the confidence score is less than the threshold value;
• determine a certainty score with respect to generated predicted vectors using the machine learning system when the confidence score is above the threshold value;
• develop the input data for the machine learning system by determining a set of matching data vectors from the plurality of data vectors based on the input vector;
• for the input data, determining at least one of:
• a number of matching data vectors in the set, or
• a variance among matching data vectors in the set;
• and
• determine the insufficiency of the input data based on a comparison of at least one of:
• the number of matching data vectors with a first pre-determined threshold, or
• the variance with a second pre-determined threshold;
• and
• expand the set of matching data vectors by modifying the input vector when the input data is determined to be insufficient.

A patent management system for remediating insufficiency of input data for a machine learning system, the patent management system comprising:

• a vector processing server is configured to:
• generate a plurality of data vectors using data extracted from a plurality of data sources, wherein each of the plurality of data vectors comprise a plurality of data elements corresponding to a plurality of dimensions, wherein each of the plurality of dimensions is a property associated with a domain to which the plurality of data vectors belong;
• and
• a thin data processing server is configured to:
• receive a user input with respect to an input data context, wherein the input data context correspond to a subset of the plurality of data elements;
• generate an input vector based on the user input;
• determine a confidence score using the machine learning system;
• compare the confidence score with a threshold value, wherein the input data is expanded by modifying the input vector based on the comparison if the confidence score is less than the threshold value;
• and
• determine a certainty score using the machine learning algorithm when the confidence score is above the threshold value.