Patent Document ID: 10152525
Application ID: 15217282

Base Claim:
1. A method for transforming training data to improve data classification, the method comprising: extracting, by a data transforming system, concepts from a training data set, wherein the training data set comprises data records corresponding to one or more categories; computing, by the data transforming system, frequency of occurrence of each concept in each category of the one or more categories; removing, by the data transforming system, one or more concepts from the data records when the frequency of occurrence of a concept in a category is less than a threshold frequency value; computing, by the data transforming system, a percentage contribution of each concept of remaining concepts in each category upon removing the one or more concepts; eliminating, by the data transforming system, concepts, from the remaining concepts, contributing equally to each category based on the percentage contribution of each concept to provide a reformed training data set, wherein eliminating concepts contributing equally to each category comprises eliminating concepts corresponding to a row in an asymmetry matrix from the training data set when a maximum distance of distances in the row of the asymmetry matrix is less than a pre-defined contribution value; and appending, by the data transforming system, a category name to a corresponding data record in the reformed training data set based on a normalized frequency of occurrence of the concept in a category to improve data classification.

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Claim 5:
5. The method of claim 1 , wherein appending the category name to the corresponding data record comprises: creating, by the data transformation system, a domain concept frequency matrix comprising concepts in the reformed training data set and the frequency of occurrence of each concept in each category; computing, by the data transformation system, the normalized frequency of occurrence based on a minimum frequency of occurrence and a maximum frequency of occurrence; and appending, by the data transformation system, the category name corresponding to a maximum normalized frequency of occurrence to the corresponding data record the maximum normalized frequency of occurrence times to improve data classification.