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A Load Spectrum Data based Data Mining System for Identifying Different Types of Vehicle Usage of a Hybrid Electric Vehicle Fleet
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Bergmeir, P., Nitsche, C., Nonnast, J., and Bargende, M., "A Load Spectrum Data based Data Mining System for Identifying Different Types of Vehicle Usage of a Hybrid Electric Vehicle Fleet," SAE Int. J. Alt. Power. 5(1):50-57, 2016, https://doi.org/10.4271/2016-01-0278.
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English
References
- Han , J. , Kamber , M. and Pei , J. Data Mining: Concepts and Techniques, Third Edition Boston Morgan Kaufmann 2011 1 38 10.1016/B978-0-12-381479-1.00016-2
- van der Maaten , L.J.P. , and Hinton , G.E. Visualizing High-Dimensional Data Using t-SNE Journal of Machine Learning Research 9 2579 2605 2008
- Tenenbaum , J.B. , de Silva , V. , and Langford , J.C. A Global Geometric Framework for Nonlinear Dimensionality Reduction Science 290 5500 2319 2323 2000
- Breiman , L. , and Cutler , A. Random Forests Manual v4.0 2003 https://www.stat.berkeley.edu/∼breiman/Using_random_forests_v4.0.pdf Oct. 2015
- Köhler , M. , Jenne , S. , Pötter , K. and Zenner , H. Zählverfahren und Lastannahme in der Betriebsfestigkeit Berlin Springer 2012 1 212 10.1007/978-3-642-13164-6
- Bergmeir , P. , Nitsche , C. , Nonnast , J. , Bargende , M. et al. Klassifikationsverfahren zur Identifikation von Korrelationen zwischen Antriebsstrangbelastungen und Hybridkomponentenfehlern einer Hybridfahrzeugflotte Tag des Promotionskollegs HYBRID 2014
- Bergmeir , P. , Nitsche , C. , Nonnast , J. , Bargende , M. et al. Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet Proceedings of 13th International Conference on Machine Learning and Applications (ICMLA):397-404 2014 10.1109/ICMLA.2014.71
- Bergmeir , P. , Nitsche , C. , Nonnast , J. , and Bargende M. Classifying component failures of a hybrid electric vehicle fleet based on load spectrum Neural Computing and Applications 1 16 2015 10.1007/s00521-015-2065-y
- Breiman , L. Random forests Machine Learning 45 1 5 32 2001 10.1023/A:1010933404324
- Frisk , E. , Krysander , M. , and Larsson , E. Data-Driven Lead-Acid Battery Prognostics Using Random Survival Forests Proceedings of Annual Conference of the Prognostics and Health Management Society 2014 Texas, Sept. 27-Oct. 3, 2014
- Prytz , R. , Nowaczyk , S. , Rögnvaldsson , T. , and Byttner , S. Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data Engineering Applications of Artificial Intelligence 41 139 150 2015
- Hotelling , H. Analysis of a complex of statistical variable into principal components Educational Psychology 24 6 417 441 1933 10.1037/h0071325
- Torgerson , W.S. Multidimensional scaling I: Theory and method Psychometrika 17 4 401 419 1952 10.1007/BF02288916
- Mardia , K.V. , Kent , J.T. , and Bibby , J.M. Multivariate Analysis London Academic Press 1979 0-12-471250-9
- Sammon , J.W. A nonlinear mapping for data structure analysis IEEE Transactions on Computers C-18 5 401 409 1969 10.1109/T-C.1969.222678
- Roweis , S.T. , and Saul , L.K. Nonlinear dimensionality reduction by Locally Linear Embedding Science 290 5500 2323 2326 2000 10.1126/science.290.5500.2323
- Ji , S. Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering BMC Bioinformatics 14 222 1 14 2013
- Laczny , C.C. , Pinel , N. , Vlassis , N. , and Wilmes , P. Alignment-free Visualization of Metagenomic Data by Nonlinear Dimension Reduction Scientific Reports 4 1 12 2014 10.1038/srep04516
- Hinton , G.E. , and Roweis , S.T. Stochastic Neighbor Embedding Advances in Neural Information Processing Systems 15 833 840 2002
- van der Maaten , L.J.P. Accelerating t-SNE using Tree-Based Algorithms Journal of Machine Learning Research 15 3221 3245 2014
- Shi , T. , and Horvath , S. Unsupervised Learning With Random Forest Predictors Journal of Computational and Graphical Statistics 15 1 118 138 2006 10.1198/106186006X94072
- Krijthe , J. Rtsne: T-Distributed Stochastic Neighbor Embedding using Barnes-Hut Implementation (R package version 0.10) Computer Software 2015
- Oksanen , J. , Blanchet , F.G. , Kindt , R. , and Legendre , P. et al. vegan: Community Ecology Package (R package version 2.3-0) Computer Software 2015
- Diedrich , H. , and Abel , M. lle: Locally linear embedding (R package version 1.1) Computer Software 2012
- Liaw , A. , and Wiener , M. Classification and Regression by randomForest R News 2 3 18 22 2002
- TomTom International BV TomTom Traffic Index -Measuring Congestion Worldwide https://www.tomtom.com/en_gb/trafficindex/#/list Oct. 2015