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Authors: Artur Pedroso ; Bruno Leonel Lopes ; Jaime Correia ; Filipe Araujo ; Jorge Cardoso and Rui Pedro Paiva

Affiliation: CISUC, Dept. of Informatics Engineering, University of Coimbra and Portugal

ISBN: 978-989-758-330-8

Keyword(s): Data Science, Data Mining, Machine Learning, Microservices.

Abstract: With the emergence of Big Data, the scarcity of data scientists to analyse all the data being produced in different domains became evident. To train new data scientists faster, web applications providing data science practices without requiring programming skills can be a great help. However, some available web applications lack in providing good data mining practices, specially for assessment and selection of models. Thus, in this paper we describe a system, currently under development, that will provide the construction of data mining processes enforcing good data mining practices. The system will be available through a web UI and will follow a microservices architecture that is still being designed and tested. Preliminary usability tests, were conducted with two groups of users to evaluate the envisioned concept for the creation of data mining processes. In these tests we observed a general high level of user satisfaction. To assess the performance of the current system design, we have done tests in a public cloud where we observed interesting results that will guide us in new directions. (More)

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Paper citation in several formats:
Pedroso, A.; Lopes, B.; Correia, J.; Araujo, F.; Cardoso, J. and Paiva, R. (2018). A Data Mining Service for Non-Programmers.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-330-8, pages 340-346. DOI: 10.5220/0007226003400346

@conference{kdir18,
author={Artur Pedroso. and Bruno Leonel Lopes. and Jaime Correia. and Filipe Araujo. and Jorge Cardoso. and Paiva, R.},
title={A Data Mining Service for Non-Programmers},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2018},
pages={340-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007226003400346},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - A Data Mining Service for Non-Programmers
SN - 978-989-758-330-8
AU - Pedroso, A.
AU - Lopes, B.
AU - Correia, J.
AU - Araujo, F.
AU - Cardoso, J.
AU - Paiva, R.
PY - 2018
SP - 340
EP - 346
DO - 10.5220/0007226003400346

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