Predictive data analytics with automatic feature extraction
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United States of America
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Dec 3, 2024
Grant Date -
Jun 4, 2020
app pub date -
Dec 4, 2018
filing date -
Dec 4, 2018
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Abstract
There is a need for solutions that predictive data analytics with improved training efficiency and/or accuracy. This need can be addressed by, for example, processing an original feature entry to generate a group of low-order feature values, including performing a first number of iterations of a feature engineering transformation to generate a group of engineered feature values and determining the group of low-ordered feature values based on a number of feature values from the group of engineered feature values; processing the original feature entry to generate a group of high-order feature values; merging the group of low-order feature values and the group of high-order feature values to generate a processed feature entry corresponding to the original feature entry; and providing the processed feature entry as an input to a prediction unit.
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