Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, Márcio da Cunha Reis, Nattane Luiza Costa
{"title":"从文献计量学到文本挖掘：探索微阵列研究中的特征选择方法","authors":"Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, Márcio da Cunha Reis, Nattane Luiza Costa","doi":"10.1080/03610918.2024.2331083","DOIUrl":null,"url":null,"abstract":"Text mining (TM) is a technique that aims to extract knowledge from unstructured data sources by transforming them into structured data. TM algorithms can be used to detect hidden patterns in large...","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From bibliometrics to text mining: exploring feature selection methods in microarray research\",\"authors\":\"Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, Márcio da Cunha Reis, Nattane Luiza Costa\",\"doi\":\"10.1080/03610918.2024.2331083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Text mining (TM) is a technique that aims to extract knowledge from unstructured data sources by transforming them into structured data. TM algorithms can be used to detect hidden patterns in large...\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610918.2024.2331083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610918.2024.2331083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
From bibliometrics to text mining: exploring feature selection methods in microarray research
Text mining (TM) is a technique that aims to extract knowledge from unstructured data sources by transforming them into structured data. TM algorithms can be used to detect hidden patterns in large...
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
