Vahid Beiranvand

Learn More
In the domain of association rules mining (ARM) discovering the rules for numerical attributes is still a challenging issue. Most of the popular approaches for numerical ARM require a priori data discretization to handle the numerical attributes. Moreover, in the process of discovering relations among data, often more than one objective (quality measure) is(More)
In the real world, the behaviors of financial applications are unstable and they change from time to time. Accordingly, dealing with such issues as nonlinear and time variant problems has been a serious problem in recent years. These types of problems along with inefficiency of the traditional models led to an increasing interest in artificial intelligence(More)
  • 1