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Authors: Kenan Cem Demirel ; Ahmet Şahin and Erinc Albey

Affiliation: Department of Industrial Engineering, Özyeğin University, Istanbul, 34794 and Turkey

Keyword(s): Industry 4.0, Ensemble Methods, Multi-Target Regression, Regression Chains, Quality Prediction, Textile Manufacturing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Management of Sensor Data ; Predictive Modeling ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

Abstract: In this study we construct a prediction model, which utilizes the production process parameters acquired from a textile machine and predicts the quality characteristics of the final yarn. Several machine learning algorithms (decision tree, multivariate adaptive regression splines and random forest) are used for prediction. An ensemble method, using the idea of regressor chains, is developed to further improve the prediction performance. Collected data is first segmented into two parts (labeled as “normal” and “unusual”) using local outlier factor method, and performance of the algorithms are tested for each segment separately. It is seen that ensemble idea proves its competence especially for the cases where the collected data is categorized as unusual. In such cases ensemble algorithm improves the prediction accuracy significantly.

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Paper citation in several formats:
Demirel, K.; Şahin, A. and Albey, E. (2019). Ensemble Learning based on Regressor Chains: A Case on Quality Prediction. In Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-377-3; ISSN 2184-285X, SciTePress, pages 267-274. DOI: 10.5220/0007932802670274

@conference{data19,
author={Kenan Cem Demirel. and Ahmet Şahin. and Erinc Albey.},
title={Ensemble Learning based on Regressor Chains: A Case on Quality Prediction},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA},
year={2019},
pages={267-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007932802670274},
isbn={978-989-758-377-3},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA
TI - Ensemble Learning based on Regressor Chains: A Case on Quality Prediction
SN - 978-989-758-377-3
IS - 2184-285X
AU - Demirel, K.
AU - Şahin, A.
AU - Albey, E.
PY - 2019
SP - 267
EP - 274
DO - 10.5220/0007932802670274
PB - SciTePress