| US 7,333,997 B2 | ||
| Knowledge discovery method with utility functions and feedback loops | ||
| Alianna J. Maren, Woodbridge, Va. (US); and Stanley V. Campbell, Fairfaxd, Va. (US) | ||
| Assigned to Viziant Corporation, McLean, Va. (US) | ||
| Filed on Aug. 12, 2003, as Appl. No. 10/604,705. | ||
| Prior Publication US 2005/0038805 A1, Feb. 17, 2005 | ||
| Int. Cl. G06F 17/30 (2006.01) | ||
| U.S. Cl. 707—101 [707/6; 706/45] | 33 Claims |
| 1. A method for performing knowledge discovery comprising the steps of:
associating with each member of a data corpus one or more metatags through execution of a ranking function, wherein said ranking
function is controllable through a parameter value;
selecting a first subset of members from said data corpus whose associated metatags are a match to a first set of criteria;
processing said first subset of members to produce a set of pairwise associations between elements of each of said first subset
of members;
selecting a subset of said set of pairwise associations that reach a certain predefined or preset value;
identifying a second subset of members from said data corpus based on said subset of said pairwise associations;
computing a utility function to measure a utility of said second subset of members;
adjusting said parameter value to an adjusted parameter value based on said utility function;
associating one or more members of said data corpus with one or more retrospective metatags through execution of said ranking
function controlled by said adjusted parameter value; and
selecting a third subset of members from said data corpus whose associated metatags are a match to a second set of criteria.
|