1. A computerized method for automatically detecting deviations in a data table comprising a multitude of records and a multitude of columns, said method comprising the steps of: (1) selecting a column as a classification column; (2) executing a classification method for calculating a classification tree with respect to said classification column, whereby each edge of said classification tree is associated with a predicate, whereby a leaf node of said classification tree is associated with a leaf record set comprising a subset of records for which a class predicate comprising all predicates along a path from a root node of said classification tree to said leaf node evaluates to TRUE, and whereby said leaf node is associated with a leaf label representing an expected value in said classification column of said leaf record set; and (3) determining from said leaf record set all records deviating with respect to said classification column from said leaf label as a deviation set.