CPMD: a matlab toolbox for change point and constrained motif discovery

Authors:
Yasser Mohammad;Yoshimasa Ohmoto;Toyoaki Nishida
Affiliations:
Assiut University, Egypt;Kyoto University, Japan;Kyoto University, Japan
Venue:
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Year:
2012

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Abstract

Change Point Discovery (CPD) and Constrained Motif Discovery (CMD) are two essential problems in data mining with applications in many fields including robotics, economics, neuroscience and other fields. In this paper, we show that these two problems are related and report the development of a MATLAB Toolbox (CPMD) that encapsulates several useful algorithms including new variants to solve these two related problems. The Toolbox is then used to study the effect of distance function choice in CPD.