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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Applied sciences Ročník 11; číslo 18; s. 8596
Hlavní autoři:	Chittam, Swetha, Gokaraju, Balakrishna, Xu, Zhigang, Sankar, Jagannathan, Roy, Kaushik
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.09.2021
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!