Multi-class novelty detection in diagnostic trouble codes from repair shops
DOI: 10.1109/INDIN.2017.8104917
关键词:
摘要: … trouble codes (DTCs) and freeze frames, where DTCs point to … are enriched with information about the vehicle’s brand and … operation modes predominantly encountered for each DTC, …
sci-hub.se 参考文章(26)
Shigeo Abe, Support Vector Machines for Pattern Classification (Advances in Pattern Recognition) Springer-Verlag New York, Inc.. ,(2005)
Fengyu Cong, Hannu Hautakangas, Jukka Nieminen, Oleksiy Mazhelis, Mikko Perttunen, Jukka Riekki, Tapani Ristaniemi, Applying wavelet packet decomposition and one-class support vector machine on vehicle acceleration traces for road anomaly detection international symposium on neural networks. pp. 291- 299 ,(2013) , 10.1007/978-3-642-39065-4_36
Andreas Theissler, Detecting anomalies in multivariate time series from automotive systems Brunel University School of Engineering and Design PhD Theses. ,(2013)
Arindam Banerjee, Varun Chandola, Vipin Kumar, Anomaly detection for symbolic sequences and time series data University of Minnesota. ,(2009)
Robert P. W. Duin, David M. J. Tax, Data domain description using support vectors. the european symposium on artificial neural networks. pp. 251- 256 ,(1999)
Tom White, Hadoop: The Definitive Guide ,(2009)
Hans-Peter Kriegel, Martin Ester, Jörg Sander, Xiaowei Xu, A density-based algorithm for discovering clusters in large spatial Databases with Noise knowledge discovery and data mining. pp. 226- 231 ,(1996)
Rune Prytz, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Stefan Byttner, Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data Engineering Applications of Artificial Intelligence. ,vol. 41, pp. 139- 150 ,(2015) , 10.1016/J.ENGAPPAI.2015.02.009
Alfred Inselberg, The plane with parallel coordinates The Visual Computer. ,vol. 1, pp. 69- 91 ,(1985) , 10.1007/BF01898350
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire, An experimental evaluation of novelty detection methods Neurocomputing. ,vol. 135, pp. 313- 327 ,(2014) , 10.1016/J.NEUCOM.2013.12.002