Automatic data perspective generation for a target variable

Details Automatic data perspective generation for a target variable Automatic data perspective generation for a target variable

2007-05-29

2007-05-29

Mofiz, Apu (Department: 2161)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000

Reexamination Certificate

active

10824108

ABSTRACT:
The present invention leverages machine learning techniques to provide automatic generation of conditioning variables for constructing a data perspective for a given target variable. The present invention determines and analyzes the best target variable predictors for a given target variable, employing them to facilitate the conveying of information about the target variable to a user. It automatically discretizes continuous and discrete variables utilized as target variable predictors to establish their granularity. In other instances of the present invention, a complexity and/or utility parameter can be specified to facilitate generation of the data perspective via analyzing a best target variable predictor versus the complexity of the conditioning variable(s) and/or utility. The present invention can also adjust the conditioning variables (i.e., target variable predictors) of the data perspective to provide an optimum view and/or accept control inputs from a user to guide/control the generation of the data perspective.

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