APPARATUS AND METHOD FOR ASSESSING RELEVANT CATEGORIES AND MEASURES FOR USE IN DATA ANALYSES

• US 20110119273A1
• Filed: 01/26/2011
• Published: 05/19/2011
• Est. Priority Date: 10/31/2006
• Status: Active Grant

• Current Assignee: Business Objects Incorporated (SAP SE)
• Original Assignee: Business Objects Incorporated (SAP SE)
• Inventors: CHONGVILAY, VIRGILE, CUBRANIC, DAVOR, GOSPER, JULIAN LARS, AGATHOS, JEAN-LUC, ABHYANKAR, SAURABH
• Granted Patent: US 8,219,560 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06F 16/3323 using document space presentation or visualization, e.g. category, hierarchy or range presentation and selection
• CPC Class Codes: Y10S 707/957 Multidimensional
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation

Abstract

A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Claims

1. A computer readable storage medium, comprising executable instructions to:

receive a relevancy parameter;

search for the relevancy parameter in a category ensemble including a set of categories, wherein the category ensemble overlies a dataset;

create a first order of the set of categories based on the relevancy of the relevancy parameter to each category in the set of categories, wherein relevancy is a degree of match to the relevancy parameter;

create a second order of the set of categories based on the merit of each category to partition the dataset;

combine the first order and the second order into a final order;

return the final order;

search for a measure in the category ensemble based on the relevancy parameter; and

return the measure as a selected measure, wherein the selected measure is a codomain of a visualization depicting a portion of the dataset.

2. The computer readable storage medium of claim 1 further comprising executable instructions to:

retrieve a dataset that underlies the category ensemble from a data source;

build an enumeration tree to represent the dataset;

calculate a plurality of merit values for the set of categories; and

store an order of the categories based on the merit values as the second order.

3. The computer readable storage medium of claim 1 wherein:

a category in the set of categories comprises a set of attributes; and

each attribute in the set of attributes is a potential filter for the dataset.

4. The computer readable storage medium of claim 1 further comprising executable instructions to preselect a category as a domain in the visualization wherein the category is highly relevant to the relevancy parameter.

5. The computer readable storage medium of claim 1 further comprising executable instructions to preselect an attribute as a filter on the dataset wherein the attribute is the only attribute matching the relevancy parameter.

6. The computer readable storage medium of claim 1 further comprising executable instructions to:

accept the selection of an attribute in a category in the set of categories, wherein the category includes a set of attributes; and

filter the dataset using the attribute as a filter value.

7. The computer readable storage medium of claim 6 further comprising executable instructions to:

transfer the category containing the selected attribute from a first subset of unselected categories of the set of categories to a second subset of selected categories of the set of categories; and

determine a new final order for the first subset of unselected categories.

8. The computer readable storage medium of claim 1 wherein the category ensemble is included in a plurality of category ensembles.

9. The computer readable storage medium of claim 8 further comprising executable instructions to:

determine the relevancy of each category ensemble in the plurality of category ensembles;

order the plurality of category ensembles by relevancy; and

return the plurality of category ensembles in order.