Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data
10.1016/j.enbuild.2021.111195
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sg-nus-scholar.10635-2293422023-10-31T08:34:32Z Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data Leprince, Julien Miller, Clayton Zeiler, Wim THE BUILT ENVIRONMENT Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Data mining Data cube Generic method Multidimensional analytics Machine learning Building data MISSING VALUES KNOWLEDGE DISCOVERY FAULT-DETECTION ENERGY DEMAND DATA-DRIVEN ELECTRICITY CONSUMPTION OUTLIER DETECTION IMPUTATION CLASSIFICATION DIAGNOSTICS 10.1016/j.enbuild.2021.111195 ENERGY AND BUILDINGS 248 2022-07-28T05:28:21Z 2022-07-28T05:28:21Z 2021-06-23 2022-07-19T00:49:57Z Article Leprince, Julien, Miller, Clayton, Zeiler, Wim (2021-06-23). Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data. ENERGY AND BUILDINGS 248. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enbuild.2021.111195 03787788 18726178 https://scholarbank.nus.edu.sg/handle/10635/229342 en ELSEVIER SCIENCE SA Elements |
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Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Data mining Data cube Generic method Multidimensional analytics Machine learning Building data MISSING VALUES KNOWLEDGE DISCOVERY FAULT-DETECTION ENERGY DEMAND DATA-DRIVEN ELECTRICITY CONSUMPTION OUTLIER DETECTION IMPUTATION CLASSIFICATION DIAGNOSTICS |
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Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Data mining Data cube Generic method Multidimensional analytics Machine learning Building data MISSING VALUES KNOWLEDGE DISCOVERY FAULT-DETECTION ENERGY DEMAND DATA-DRIVEN ELECTRICITY CONSUMPTION OUTLIER DETECTION IMPUTATION CLASSIFICATION DIAGNOSTICS Leprince, Julien Miller, Clayton Zeiler, Wim Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
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10.1016/j.enbuild.2021.111195 |
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THE BUILT ENVIRONMENT |
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THE BUILT ENVIRONMENT Leprince, Julien Miller, Clayton Zeiler, Wim |
format |
Article |
author |
Leprince, Julien Miller, Clayton Zeiler, Wim |
author_sort |
Leprince, Julien |
title |
Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
title_short |
Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
title_full |
Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
title_fullStr |
Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
title_full_unstemmed |
Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
title_sort |
data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data |
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ELSEVIER SCIENCE SA |
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2022 |
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https://scholarbank.nus.edu.sg/handle/10635/229342 |
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