Employing a combined function for exception exploration in multidimensional data
AssigneeInternational Business Machines Corporation
InventorBhooshan Prafulla Kelkar
Life of this patent
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Abstract
There is provided a method for providing a function for use in detecting a presence of an exception in multidimensional data. The method comprises the steps of (a) partitioning the multidimensional data into at least a first region and a second region; (b) assigning a first region-specific function to the first region and a second region-specific function to the second region; and (c) determining a combined function from the first region-specific function and the second region-specific function. The combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
Claims21
A method for providing a function for use in detecting a presence of an exception in multidimensional data, comprising:
- partitioning said multidimensional data into at least a first region and a second region;
- assigning a first region-specific function to said first region and a second region-specific function to said second region;
- and
- determining a combined function from said first region-specific function and said second region-specific function,
- wherein said combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
A method for providing a function for use in detecting a presence of an exception in multidimensional data, comprising:
- partitioning said multidimensional data into at least a first region and a second region;
- assigning a first region-specific function to said first region and a second region-specific function to said second region, wherein each of said first and second region-specific functions satisfy a set of predetermined conditions in its assigned region;
- determining a combined function from said first region-specific function and said second region-specific function;
- and
- adjusting a limit of said first region and a limit of said second region so that said combined function satisfies said set of predetermined conditions for all values of said multidimensional data,
- wherein said combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
A storage media containing instructions for controlling a processor for providing a function for use in detecting a presence of an exception in multidimensional data, said storage media comprising:
- instructions for controlling said processor to partition said multidimensional data into at least a first region and a second region;
- instructions for controlling said processor to assign a first region-specific function to said first region and a second region-specific function to said second region;
- and
- instructions for controlling said processor to determine a combined function from said first region-specific function and said second region-specific function,
- wherein said combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
A storage media containing instructions for controlling a processor for providing a function for use in detecting a presence of an exception in multidimensional data, said storage media comprising:
- instructions for controlling said processor to partition said multidimensional data into at least a first region and a second region;
- instructions for controlling said processor to assign a first region-specific function to said first region and a second region-specific function to said second region, wherein each of said first and second region-specific functions satisfy a set of predetermined conditions in its assigned region;
- instructions for controlling said processor to determine a combined function from said first region-specific function and said second region-specific function;
- and
- instructions for controlling said processor to adjust a limit of said first region and a limit of said second region so that said combined function satisfies said set of predetermined conditions for all values of said multidimensional data,
- wherein said combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
A system for providing a function for use in detecting a presence of an exception in multidimensional data, comprising:
- a module for partitioning said multidimensional data into at least a first region and a second region;
- a module for assigning a first region-specific function to said first region and a second region-specific function to said second region;
- and
- a module for determining a combined function from said first region-specific function and said second region-specific function,
- wherein said combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
A system for providing a function for use in detecting a presence of an exception in multidimensional data, comprising:
- a module for partitioning said multidimensional data into at least a first region and a second region;
- assigning a first region-specific function to said first region and a second region-specific function to said second region, wherein each of said first and second region-specific functions satisfy a set of predetermined conditions in its assigned region;
- determining a combined function from said first region-specific function and said second region-specific function;
- and
- adjusting a limit of said first region and a limit of said second region so that said combined function satisfies said set of predetermined conditions for all values of said multidimensional data,
- wherein said combined function is used to calculate an expected value of the multidimensional data for distinguishing the presence of an exception.
Dependencies are inferred from the claim text.