Patterns Based Classifiers |
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Authors: | Kotagiri Ramamohanarao Hongjian Fan |
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Affiliation: | (1) The Department of Computer Science and Software Engineering, The University of Melbourne, Melbourne, Australia |
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Abstract: | Data mining is one of the most important areas in the 21 century for its applications are wide ranging. This includes medicine,
finance, commerce and engineering, to name a few. 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
very successful for constructing accurate and robust classifiers. In this paper, we examine various kinds of patterns. We
also investigate efficient pattern mining techniques and discuss how to exploit patterns to construct effective classifiers. |
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Keywords: | data mining classification emerging pattern |
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