The Trend of Data Mining Researches in FUZZ-IEEE

Abstract

Owing to the progress of needs to analyze huge amount of data collected from real world and help us do decision makings for our various activities based on the analysis, the fusion of data mining techniques and soft computing techniques is growing. The author thinks the trend is more and more growing, and it expands the research field. This paper investigates trend of the field in FUZZ-IEEE which is one of representative conferences for the soft computing techniques. Also, it grasps the trend from theoretical researches to application researches. Lastly, this paper focuses on the fuzzy association rule discovery vigorously studied by many researchers. It introduces the research directions such as the discovery from complicated data and intuitive data, and the improvement of the discovery methods reflecting the features of fuzzy sets.