Case Study: Knowledge Discovery Process using Computation Intelligence with Feature Selection Approach

Since today is the age of data which are presented using electronic documents, knowledge discovery process (KDP) for different types of data is become a popular topic in various application areas for developing automatic systems. Meanwhile, the capacity of computation intelligence (CI) for solving complex problem, for instance complex features, in KDP is also become a critical role in order to provide effective performance and efficient computation time. In this paper, we observed case study about new trend for KDP using CI for the area of text document classification (TDC). According to the experimental results from different cases, CI can enhance the performance of TDC by looking for optimal subset of feature according to the objective function of learning models.