this area, verification represents checking whether desirable
property can hold in each business process log. The theme is
divided into two parts. The first is conformance checking. It
checks consistency between event logs and process models.
The socond is verification focussing attention on a local
part using LTL verification. We deal with the latter. LTL
checker [2] is the major means. It can verify whether specific
property represented as LTL can hold in each trace. However,
It is difficult to describe the logical formula which reflected
the user’s intentions sufficiently. Therefore, we propose a
verification approach for users who have inadequate domain
knowledge and knowledge of mathematical logic. Our method
can predict whether the specific property can hold in each trace
using decision tree focussing attention on partial structures
represented as event order relations of traces. Moreover, our
approach can reconstruct logical formula based on decision
tree construction. It encourages the more correct verification.
The incorrect verification influences on bad decision making
about business process improvements.
The effectiveness of our approach is evaluated by some
case studies. We use phone repair process logs. The logs