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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Bibliographic Details
Published in:	Applied sciences Vol. 11; no. 18; p. 8596
Main Authors:	Chittam, Swetha, Gokaraju, Balakrishna, Xu, Zhigang, Sankar, Jagannathan, Roy, Kaushik
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2021
Subjects:	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 Access:	Get full text
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