Predicting the tear strength of woven fabrics via automated machine learning: an application of the CRISP-DM methodology

Textile and clothing is an important industry that is currently being transformed by the adoption of the Industry 4.0 concept. In this paper, we use the CRoss-Industry Standard Process for Data Mining (CRISP-DM) methodology to model the textile testing process. Real-world data were collected from a...

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Bibliographic Details
Main Author: Ribeiro, Rui (author)
Other Authors: Pilastri, André (author), Moura, Carla (author), Rodrigues, Filipe (author), Rocha, Rita (author), Cortez, Paulo (author)
Format: conferencePaper
Language:eng
Published: 2020
Subjects:
Automated machine learning
Fabrics
Industry 4.0
Regression
Tear strength
Science & Technology
Online Access:http://hdl.handle.net/1822/68602
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/68602

Internet

http://hdl.handle.net/1822/68602

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