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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Vydané v:	Applied sciences Ročník 11; číslo 18; s. 8596
Hlavní autori:	Chittam, Swetha, Gokaraju, Balakrishna, Xu, Zhigang, Sankar, Jagannathan, Roy, Kaushik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2021
Predmet:	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
On-line prístup:	Získať plný text
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