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US 10,474,968 B2Granted
Improving accuracy of predictions using seasonal relationships of time series data
AssigneeSAS Institute Inc.
InventorsYung-Hsin Chien, Pu Wang, Yue Li
Life of this patent
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AssigneeSAS Institute Inc.
InventorsYung-Hsin Chien, Pu Wang, Yue Li
Estimating the term…
Systems and methods are provided for performing data mining and statistical learning techniques on a big data set. More specifically, systems and methods are provided for linear regression using safe screening techniques. Techniques may include receiving a plurality of time series included in a prediction hierarchy for performing statistical learning to develop an improved prediction hierarchy. It may include pre-processing data associated with each of the plurality of time series, wherein the pre-processing includes tasks performed in parallel using a grid-enabled computing environment. For each time series, the system may determine a classification for the individual time series, a pattern group for the individual time series, and a level of the prediction hierarchy at which the each individual time series comprises an need output amount greater than a threshold amount. The computing system may generate an additional prediction hierarchy using the first prediction hierarchy, the classification, the pattern group, and the level.
A system for performing data mining and statistical learning techniques on a data set, the system comprising:
A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions for performing data mining and statistical learning techniques on a data set, the instructions configured to be executed to cause a data processing apparatus to perform operations including:
A computer-implemented method for performing data mining and statistical learning techniques on a data set, comprising:
Dependencies are inferred from the claim text.