International Business Machines Corporation

Reinhold Keuler

Andreas Arning

Friedemann Schwenkreis

Toni Bollinger

A method and system for automatically detecting deviations in a data table comprising a multitude of records and a multitude of columns. A column of the data table is selected as a classification column and a classification tree is calculated with respect to the classification column. Each edge of the classification tree is associated with a predicate. The leaf nodes of the classification tree are associated with a leaf record set comprising the subset of records for which the class predicate comprising all predicates along a path from a root node of the classification tree to the leaf nodes evaluates to TRUE. Leaf nodes are associated with a leaf label representing an expected value in the classification column for the corresponding leaf record sets. From the leaf record sets all records deviating with respect to the corresponding classification column from the leaf label are determined as deviation sets.

Growing community of inventors

Dettenhausen, Germany

Reinhold Keuler