| 发明名称 |
ITERATIVE REFINEMENT OF PATHWAYS CORRELATED WITH OUTCOMES |
| 摘要 |
Methods and systems for refining a process model include determining whether the process model is too dense or too sparse. A predictive model is learned from execution traces to predict an outcome. The predictive model is modified responsive to the determination of whether the process model is too dense or too sparse. A refined process model is refined from updated traces based on attributes present in the modified predictive model. |
| 申请公布号 |
US2016180253(A1) |
申请公布日期 |
2016.06.23 |
| 申请号 |
US201615054681 |
申请日期 |
2016.02.26 |
| 申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
Lakshmanan Geetika T.;Rozsnyai Szabolcs;Wang Fei |
| 分类号 |
G06N99/00 |
主分类号 |
G06N99/00 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for refining a process model, comprising:
determining whether the process model is too dense or too sparse; learning a predictive model from execution traces to predict an outcome; modifying the predictive model with a processor responsive to the determination of whether the process model is too dense or too sparse; and mining a refined process model from updated traces based on attributes present in the modified predictive model. |
| 地址 |
Armonk NY US |
