Big Data Mining and Classification of Intelligent Material Science Data Using Machine Learning

There is a high need for a big data repository for material compositions and their derived analytics of metal strength, in the material science community. Currently, many researchers maintain their own excel sheets, prepared manually by their team by tabulating the experimental data collected from s...

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Veröffentlicht in:	Applied sciences Jg. 11; H. 18; S. 8596
Hauptverfasser:	Chittam, Swetha, Gokaraju, Balakrishna, Xu, Zhigang, Sankar, Jagannathan, Roy, Kaushik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2021
Schlagworte:	Algorithms Alloys Automation Big Data Classification classification algorithms Data analysis Data mining Data models Datasets Ductility Electronic health records Literature reviews logistic regression Machine learning Metals mongodb No-SQL database Science Structured Query Language-SQL support vector machine SVM Support vector machines Tensile strength Variables Yield stress
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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