Classification of geographic performance data

A computerized method for classification, the method comprising:

• (a) storing, in at least one storage apparatus, information pertaining to a set of ad entity performance data associated with different geographic locations, the information being indicative of:
• a quantity of occurrences, larger than one, of the performance data in a sample,
• a quantity of successful occurrences of the performance in the sample, and
• at least one geographic location identifier of the performance data;
• and
• (b) using at least one processor to:
• define a classification scheme for classification of the performance data into classes based on at least the geographic location identifier in a defining process which includes assigning a score to the geographic location identifier, based on a plurality of quantities of successful occurrences of performance data, each of the quantities is a quantity of successful occurrences having a corresponding geographic location identifier,
• obtain a respective subset of the performance data for each out of a plurality of the classes, by applying the classification scheme to geographic location identifiers of a plurality of performance data of the set,
• determine, with respect to each class of the plurality of classes, an outcome estimation based on quantities of successful occurrences of performance data of the respective subset of performance data of said class, and
• compute, for an analyzed performance data, a performance assessment which is based on an outcome estimation of a class out of the classes that is a result of application of the classification scheme to geographic location identifiers of the analyzed performance data, thereby enabling a selective application of an industrial process, wherein the selective application is responsive to the performance assessment.

A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform a method for classification, comprising the steps of:

• (a) storing, in at least one storage apparatus, information pertaining to a set of ad entity performance data associated with different geographic locations, the information being indicative of:
• a quantity of occurrences, larger than one, of the performance data in a sample,
• a quantity of successful occurrences of the performance in the sample, and
• at least one geographic location identifier of the performance data;
• and
• (b) using at least one processor to:
• define a classification scheme for classification of the performance data into classes based on at least the geographic location identifier in a defining process which includes assigning a score to the geographic location identifier, based on a plurality of quantities of successful occurrences of performance data, each of the quantities is a quantity of successful occurrences having a corresponding geographic location identifier,
• obtain a respective subset of the performance data for each out of a plurality of the classes, by applying the classification scheme to geographic location identifiers of a plurality of performance data of the set,
• determine, with respect to each class of the plurality of classes, an outcome estimation based on quantities of successful occurrences of performance data of the respective subset of performance data of said class, and
• compute, for an analyzed performance data, a performance assessment which is based on an outcome estimation of a class out of the classes that is a result of application of the classification scheme to geographic location identifiers of the analyzed performance data, thereby enabling a selective application of an industrial process, wherein the selective application is responsive to the performance assessment.