Implementing scalable structured machine learning for big data in the SAKE project
S. Bin, P. Westphal, J. Lehmann, A.-C. Ngonga Ngomo, in: J.-Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, H. Zang, R. Baeza-Yates, X. Hu, J. Kepner, A. Cuzzocrea, J. Tang, M. Toyoda (Eds.), 2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017, {IEEE} Computer Society, 2017, pp. 1400–1407.
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Conference Paper
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Author
Bin, Simon;
Westphal, Patrick;
Lehmann, Jens;
Ngonga Ngomo, Axel-CyrilleLibreCat
Editor
Nie, Jian-Yun;
Obradovic, Zoran;
Suzumura, Toyotaro;
Ghosh, Rumi;
Nambiar, Raghunath;
Wang, Chonggang;
Zang, Hui;
Baeza-Yates, Ricardo;
Hu, Xiaohua;
Kepner, Jeremy;
Cuzzocrea, Alfredo;
Tang, Jian
All
All
Publishing Year
Proceedings Title
2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017
Page
1400-1407
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Cite this
Bin S, Westphal P, Lehmann J, Ngonga Ngomo A-C. Implementing scalable structured machine learning for big data in the SAKE project. In: Nie J-Y, Obradovic Z, Suzumura T, et al., eds. 2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. {IEEE} Computer Society; 2017:1400-1407. doi:10.1109/BigData.2017.8258073
Bin, S., Westphal, P., Lehmann, J., & Ngonga Ngomo, A.-C. (2017). Implementing scalable structured machine learning for big data in the SAKE project. In J.-Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, H. Zang, R. Baeza-Yates, X. Hu, J. Kepner, A. Cuzzocrea, J. Tang, & M. Toyoda (Eds.), 2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017 (pp. 1400–1407). {IEEE} Computer Society. https://doi.org/10.1109/BigData.2017.8258073
@inproceedings{Bin_Westphal_Lehmann_Ngonga Ngomo_2017, title={Implementing scalable structured machine learning for big data in the SAKE project}, DOI={10.1109/BigData.2017.8258073}, booktitle={2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017}, publisher={{IEEE} Computer Society}, author={Bin, Simon and Westphal, Patrick and Lehmann, Jens and Ngonga Ngomo, Axel-Cyrille}, editor={Nie, Jian-Yun and Obradovic, Zoran and Suzumura, Toyotaro and Ghosh, Rumi and Nambiar, Raghunath and Wang, Chonggang and Zang, Hui and Baeza-Yates, Ricardo and Hu, Xiaohua and Kepner, Jeremy and et al.}, year={2017}, pages={1400–1407} }
Bin, Simon, Patrick Westphal, Jens Lehmann, and Axel-Cyrille Ngonga Ngomo. “Implementing Scalable Structured Machine Learning for Big Data in the SAKE Project.” In 2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017, edited by Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, et al., 1400–1407. {IEEE} Computer Society, 2017. https://doi.org/10.1109/BigData.2017.8258073.
S. Bin, P. Westphal, J. Lehmann, and A.-C. Ngonga Ngomo, “Implementing scalable structured machine learning for big data in the SAKE project,” in 2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017, 2017, pp. 1400–1407, doi: 10.1109/BigData.2017.8258073.
Bin, Simon, et al. “Implementing Scalable Structured Machine Learning for Big Data in the SAKE Project.” 2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017, edited by Jian-Yun Nie et al., {IEEE} Computer Society, 2017, pp. 1400–07, doi:10.1109/BigData.2017.8258073.
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