Method and system for linearly detecting data deviations in a large database
US5813002A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 1996 |
| Grant date | Sep 22, 1998 |
| Priority date | — |
| Expiry date | Jul 31, 2016 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99936
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting deviations in a database is disclosed, comprising the steps of: determining respective frequencies of occurrence for the attribute values of the data items, and identifying any itemset whose similarity value satisfies a predetermined criterion as a deviation, based on the frequencies of occurrence. The determination of the frequencies of occurrence includes computing an overall similarity value for the database, and for each first itemset, computing a difference between the overall similarity value and the similarity value of a second itemset. The second itemset has all the data items except those of the first itemset. Preferably, a smoothing factor is used for indicating how much dissimilarity in an itemset can be reduced by removing a subset of items from the itemset. The smoothing factor is evaluated as each item is incrementally removed from the itemset, thereby allowing a data item to be identified as a deviation when the difference if similarity value is the highest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.