| 摘要 |
<p>A method for analyzing sets of temporal data using a computer wherein each set of temporal data includes a plurality of records collected at a time unique to each such set and in which each record has a plurality of data items. The method includes the first step of creating data association rules for at least a plurality of sequential sets wherein each association rule represents data records having at least some common data items (100). A confidence factor is then determined for each such association rule and these confidence factors are stored in data partitions for the temporal data sets (102). The confidence factors for a selected data partition is then compared with the corresponding confidence factors of at least one other data partition (112), if available. When the confidence factor for the selected data partition varies from the corresponding confidence factor for the at least one other data partition exceeds a threshold value, an alert output signal is generated (114).</p> |
