TY - GEN
T1 - Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis
AU - Tavares, Cristina
AU - Nascimento, Nathalia
AU - Alencar, Paulo
AU - Cowan, Donald
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Data analysis involves the use of a wide variety of systems and libraries to support the exploration and development of models that can uncover valuable patterns and enable individuals and businesses to draw informed insights. However, efforts towards the automation of the ML-based data analysis modeling process faces numerous challenges. In this paper, we describe our ongoing work towards the automation of the data analysis modeling phase based on a variability-aware approach. This approach involves capturing the variabilities through feature models, designing an automated framework to support the analysis, and developing use cases. The work advances the state of the art in the development of methods and tools to support the automation of ML-based data analysis.
AB - Data analysis involves the use of a wide variety of systems and libraries to support the exploration and development of models that can uncover valuable patterns and enable individuals and businesses to draw informed insights. However, efforts towards the automation of the ML-based data analysis modeling process faces numerous challenges. In this paper, we describe our ongoing work towards the automation of the data analysis modeling phase based on a variability-aware approach. This approach involves capturing the variabilities through feature models, designing an automated framework to support the analysis, and developing use cases. The work advances the state of the art in the development of methods and tools to support the automation of ML-based data analysis.
UR - http://www.scopus.com/inward/record.url?scp=85125343388&partnerID=8YFLogxK
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U2 - 10.1109/BigData52589.2021.9671894
DO - 10.1109/BigData52589.2021.9671894
M3 - Conference contribution
AN - SCOPUS:85125343388
T3 - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
SP - 3890
EP - 3896
BT - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
A2 - Chen, Yixin
A2 - Ludwig, Heiko
A2 - Tu, Yicheng
A2 - Fayyad, Usama
A2 - Zhu, Xingquan
A2 - Hu, Xiaohua Tony
A2 - Byna, Suren
A2 - Liu, Xiong
A2 - Zhang, Jianping
A2 - Pan, Shirui
A2 - Papalexakis, Vagelis
A2 - Wang, Jianwu
A2 - Cuzzocrea, Alfredo
A2 - Ordonez, Carlos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Big Data, Big Data 2021
Y2 - 15 December 2021 through 18 December 2021
ER -