Invention Grant
- Patent Title: Eliminating false predictors in data-mining
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Application No.: US15070748Application Date: 2016-03-15
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Publication No.: US10229169B2Publication Date: 2019-03-12
- Inventor: Miao He , Changrui Ren , Bing Shao , Ming Xie , Jian Xu
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Vazken Alexanian
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; G06N99/00

Abstract:
Technical solutions are described for improving a data-mining process for identifying a desired population of a dataset. An example computer-implemented method includes, receiving the dataset that includes a plurality of data dimensions. The method also includes determining a set of predictors for a target variable, where a predictor is a data dimension that is relevant to the target variable. The method also includes identifying from the set of predictors, a false predictor, where the false predictor is a data dimension that results in an empty set of the desired population. The method also includes removing the false predictor from the set of predictors used for the data-mining process for identifying the desired population of the dataset.
Public/Granted literature
- US20170270170A1 ELIMINATING FALSE PREDICTORS IN DATA-MINING Public/Granted day:2017-09-21
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