Method and apparatus for optimizing and structuring data by designing a cube forest data structure for hierarchically split cube forest template
US6141655A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Sep 23, 1997 |
| Grant date | Oct 31, 2000 |
| Priority date | — |
| Expiry date | Sep 23, 2017 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99933
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The paradigmatic view of data in typical decision support applications divides the attributes (or fields) in the data records into two groups: dimensional attributes and value attributes. The dimensional attributes classify the record, while the value attributes indicate a measured quantity. The dimensional attributes can be partitioned into a set of dimensions, which are orthogonal descriptions of the record. The attributes within a dimension form hierarchies of descriptions of the record, ranging from a coarse to a description. For example, the database might consist of records of retail sales collected from individual stores and brought together into a central data warehouse. This database might have three dimensions: store location, product, and time of sale. The value attribute might be the dollar value of the sale. A dimension might contain several attributes. For example, the store location dimension might consist of country, region, state, county, and zip code. These attributes form a hierarchy because knowing the value of a fine attribute (e.g., zip code) tells you the value of a coarse attribute (e.g., country). The attributes in the time dimension might be year, month, w…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.