Although contemporary information systems are intensively utilized in enterprises, their actual impact in automating complex business process is still constrained by the difficulties coincided in design phase. In this study, a hybrid data analysis methodology to business process modeling that is based on using from-to chart is further enhanced to discover connection types and include in the process model. From-to chart is basically used as the front-end to figure out the observed transitions among the activities in event logs. The derived raw patterns are converted into activity sequence on from-to chart by using Genetic Algorithms. Finally a process model including AND/OR connection types is constructed on the basis of this activity sequence.