{"title":"工程材料的数据挖掘和机器学习方法综述","authors":"P. J. Antony, Prajna Manujesh, N. A. Jnanesh","doi":"10.1109/RTEICT.2016.7807785","DOIUrl":null,"url":null,"abstract":"This review paper explores the attempts made by the numerous authors in the field of material selection. There are ample amounts of works were carried out in the field of materials engineering with data mining approaches. From the literature it is revealed that not much of the work is explored on the classification of advanced composite materials using machine learning approaches.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"11 1","pages":"69-73"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Data mining and machine learning approaches on engineering materials — A review\",\"authors\":\"P. J. Antony, Prajna Manujesh, N. A. Jnanesh\",\"doi\":\"10.1109/RTEICT.2016.7807785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This review paper explores the attempts made by the numerous authors in the field of material selection. There are ample amounts of works were carried out in the field of materials engineering with data mining approaches. From the literature it is revealed that not much of the work is explored on the classification of advanced composite materials using machine learning approaches.\",\"PeriodicalId\":6527,\"journal\":{\"name\":\"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)\",\"volume\":\"11 1\",\"pages\":\"69-73\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTEICT.2016.7807785\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2016.7807785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining and machine learning approaches on engineering materials — A review
This review paper explores the attempts made by the numerous authors in the field of material selection. There are ample amounts of works were carried out in the field of materials engineering with data mining approaches. From the literature it is revealed that not much of the work is explored on the classification of advanced composite materials using machine learning approaches.