System and method for improving print shop operability
AssigneeXerox Corporation
InventorsSudhendu Rai, John C Handley
Life of this patent
Estimating the term…
Abstract
A computer implemented system for segmenting data collected from a document production environment is provided. The system includes determining, with a computer implemented data processing platform, that a set of document production related data should be represented as a non-normal distribution. A first test is performed and it is determined that the non-normal distribution should not be analyzed pursuant to a first analytic category. A second test is performed and when it is determined that the non-normal distribution should be analyzed pursuant to a second analytic category, an output, indicating that the non-normal distribution should be analyzed pursuant to the second analytic category is provided.
Claims25
A system for processing data collected from a document production environment, comprising:
- (A) a computer implemented data processing platform;
- and
- (B) a computer-readable storage medium comprising one or more programming instructions that, when executed, instruct the computer implemented data processing platform to:
- (1) read a set of document production related data, the document production related data being represented as a normal distribution or a non-normal distribution,
- (2) determine that the set of document production related data should be represented as a non-normal distribution,
- (3) perform a first test to determine whether the non-normal distribution should be analyzed pursuant to a first analytic category,
- (4) determine, with the first test of said (B)(3), that the non-normal distribution should not be analyzed pursuant to the first analytic category,
- (5) perform a second test to determine whether the non-normal distribution should be analyzed pursuant to a second analytic category, and
- (6) when it is determined, with the second test of (B)(5), that the non-normal distribution should be analyzed pursuant to the second analytic category, provide an output indicating that the non-normal distribution should be analyzed pursuant to the second analytic category,
- wherein the first and second analytic categories each comprise one of the following:
- a fat-tailed analysis and an analysis of a mixture of distributions.
A computer implemented method for segmenting data collected from a document production environment, comprising:
- (A) providing a set of document production related data, the document production related data being represented as a normal distribution or a non-normal distribution;
- (B) determining, with a computer implemented data processing platform, that the set of document production related data should be represented as a non-normal distribution;
- (C) performing, with the computer implemented data processing platform, a first test to determine whether the non-normal distribution should be analyzed pursuant to a first analytic category;
- (D) determining, with said (C), that the non-normal distribution should not be analyzed pursuant to the first analytic category;
- (E) performing, with the computer implemented data processing platform, a second test to determine whether the non-normal distribution should be analyzed pursuant to a second analytic category;
- and
- (F) when it is determined, with said (E), that the non-normal distribution should be analyzed pursuant to the second analytic category, providing an output indicating that the non-normal distribution should be analyzed pursuant to the second analytic category,
- wherein the first and second analytic categories each comprise one of the following:
- a fat-tailed analysis and an analysis of a mixture of distributions.
A computer implemented method for processing a segmented set of document production related data, the set of document production related data including a first distribution, comprising:
- (A) partitioning the first distribution into a second distribution and a third distribution;
- (B) determining, with a computer, whether (1) the second distribution is normal or non-normal, and (2) the third distribution is normal or non-normal;
- (C) when it is determined with said (B) that the second distribution is non-normal, categorizing the second distribution into one of of the following analytic categories:
- a fat-tailed distribution and a mixture of distributions;
- (D) when it is determined with said (B) that the third distribution is non-normal, categorizing the third distribution into one of the following analytic categories:
- a fat-tailed distribution and a mixture of distributions;
- and
- (E) providing an output indicating whether (1) the second distribution belongs to a normal distribution, a fat-tailed distribution or a mixture of distributions, and (2) the third distribution belongs to a normal distribution, a fat-tailed distribution or a mixture of distributions.
Dependencies are inferred from the claim text.