Identification of grouping criteria for bulk trip review in getting tax deductions

An apparatus for providing grouped travel data to a user interface of an application, comprising:

• a memory comprising executable instructions;
• a processor in data communication with the memory and configured to execute the executable instructions and cause the apparatus to perform a method for providing grouped travel data to a user interface of an application, the method comprising:
• receiving travel data comprising a plurality of trip records from an application running on a remote device;
• determining one or more travel data-based features from the travel data;
• creating featurized travel data based on the one or more travel data-based features;
• applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data, wherein:
• the pattern mining technique comprises a pattern mining model trained using supervised learning based on a training data set of travel records labeled with a classification for each record in the training data set,
• the pattern mining model comprises a frequent pattern mining (FPM) model trained to aggregate data based on grouping criteria learned from the training data set, and
• the plurality of patterns comprises a set of patterns selected from a universe of patterns, the set of patterns comprising a prioritized set of patterns selected based at least in part on performance metrics associated with each respective pattern in the universe of patterns;
• for each respective trip record in the featurized travel data:
• determining a plurality of trip record groups in which the respective trip record falls based on the plurality of patterns;
• and
• adding the respective trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme;
• and
• transmitting the trip record group to the application running on the remote device.

A non-transitory computer-readable medium comprising instructions that when executed by a processor of an apparatus cause the apparatus to perform a method for providing grouped travel data to a user interface of an application, the method comprising:

• receiving travel data comprising a plurality of trip records from an application running on a remote device;
• determining one or more travel data-based features from the travel data;
• creating featurized travel data based on the one or more travel data-based features;
• applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data, wherein:
• the pattern mining technique comprises a pattern mining model trained using supervised learning based on a training data set of travel records labeled with a classification for each record in the training data set,
• the pattern mining model comprises a frequent pattern mining (FPM) model trained to aggregate data based on grouping criteria learned from the training data set, and
• the plurality of patterns comprises a set of patterns selected from a universe of patterns, the set of patterns comprising a prioritized set of patterns selected based at least in part on performance metrics associated with each respective pattern in the universe of patterns;
• for each respective trip record in the featurized travel data:
• determining a plurality of trip record groups in which the respective trip record falls based on the plurality of patterns;
• and
• adding the respective trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme;
• and
• transmitting the trip record group to the application running on the remote device.