Automatic data view generation for a target variable

• Main Authors: MEEK, CHRISTOPHER A, CHICKERING, DAVID M, KADIE, CARL M, HECKERMAN, DAVID E, VIGESAA, ERIC B, FOLTING, ALLAN, THIESSON, BO
• Format: Patent
• Language: English; French; German
• Published: 05.07.2006
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

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.