Business Objects Software Limited

Kerry O'Connor

Paul O'Hara

Ying Wu

Malte Christian Kaufmann

Esther Rodrigo Ortiz

Michael Golden

Vlad Zat

Satinder Singh

Cathal McGovern

Jiazheng Li

Systems and methods include reception of a set of data including continuous features and a discrete feature, each continuous feature associated with a plurality of values and the discrete feature associated with a plurality of discrete values, determine, for each continuous feature, a relationship factor representing a relationship between the discrete feature and the continuous feature based on the plurality of values associated with the continuous feature and the plurality of discrete values, identify one of the continuous features associated with a largest one of the determined relationship factors, generate, for each of the other features, a correlation factor representing a correlation between the continuous feature and the identified continuous feature, determine, for each of the continuous features other than the identified continuous feature, a composite relationship score based on the relationship factor and the correlation factor associated with the feature, and present a visualization associated with the discrete feature, the identified continuous feature, and a continuous feature associated with a largest composite relationship score.

Composite relationship discovery framework

Growing community of inventors

Dublin, Ireland

Kerry O'Connor