Efficient Mining of Contrast Patterns and Their Applications to Classification
Kotagiri Ramamohanarao, James A Bailey, Hongjian Fan · 2005
Data mining is one of the most important areas in the 21 century with many wide ranging applications. These include medicine, finance, commerce and engineering. Pattern mining is amongst the most important and challenging techniques employed in data mining. Patterns are collections of items which satisfy certain properties. Emerging Patterns are those whose frequencies change significantly from one dataset to another. They represent strong contrast knowledge and have been shown to be very successful for constructing accurate and robust classifiers. In this paper, we examine various kinds of contrast patterns. We also investigate efficient pattern mining techniques and discuss how to exploit patterns to construct effective classifiers.