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Mohammad Shokoohi-Yekta

University of California, Riverside

7

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163

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A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior

2017 BuildSys | International Conference on Systems for Energy-Efficient Built Environments
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Clustering in the Face of Fast Changing Streams.

2016 SDM | SIAM International Conference on Data Mining
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Discovery of Meaningful Rules in Time Series

2015 KDD | Knowledge Discovery and Data Mining
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Towards wind farm performance optimization through empirical models

2014 AeroConf | IEEE Aerospace Conference
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Parameter-Free Audio Motif Discovery in Large Data Archives

2013 ICDM | International Conference on Data Mining
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Citations (8)