Determining a preferred node in a classification and regression tree for use in a predictive analysis

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United States of America Patent

PATENT NO 9367802
APP PUB NO 20130097109A1
SERIAL NO

13705286

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Abstract

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Techniques are described for determining what node of a classification and regression tree (CART) should be used by a predictive analysis application. A first approach is to use a standard deviation of the data at a given the level of the CART to determine whether data in the next, lower node is more consistent than the data in the current node. A second approach is to measure a correlation between data points in a given node and the time at which each point was sampled (or other correlation metric) to identify a preferred node.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINES CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Arndt, Karla K Rochester, US 16 120
Caffrey, James M Woodstock, US 21 289
Payton, Aspen L Byron, US 67 544

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