| 摘要 |
<p>The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over a dimension of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.</p> |
| 申请人 |
APTIMA, INC.;DUCHON, ANDREW;SALTER, WILLIAM, JEFFREY;ALLOPENNA, PAUL, DAVID;WEIL, SHAWN;KRAMER, DAVID, SCOTT;COLONNA-ROMANO, JOHN;MCCORMACK, ROBERT |
发明人 |
DUCHON, ANDREW;SALTER, WILLIAM, JEFFREY;ALLOPENNA, PAUL, DAVID;WEIL, SHAWN;KRAMER, DAVID, SCOTT;COLONNA-ROMANO, JOHN;MCCORMACK, ROBERT |
