{"title":"Call for papers: Special issue on unlocking genetic diseases by integrating machine learning techniques and medical data","authors":"","doi":"10.26599/BDMA.2021.9020005","DOIUrl":null,"url":null,"abstract":"Big Data Mining and Analytics is an international academic journal sponsored by Tsinghua University and published quarterly. It features on technologies to enable and accelerate big data discovery. All of papers published are on the IEEE Xplore Digital Library with the open access mode. The journal is indexed and abstracted in Ei Compendex, Scopus, DBLP Computer Science, Google Scholar, and CNKI.","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":"4 3","pages":"221-221"},"PeriodicalIF":7.7000,"publicationDate":"2021-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8254253/9430128/09430137.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data Mining and Analytics","FirstCategoryId":"1093","ListUrlMain":"https://ieeexplore.ieee.org/document/9430137/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Big Data Mining and Analytics is an international academic journal sponsored by Tsinghua University and published quarterly. It features on technologies to enable and accelerate big data discovery. All of papers published are on the IEEE Xplore Digital Library with the open access mode. The journal is indexed and abstracted in Ei Compendex, Scopus, DBLP Computer Science, Google Scholar, and CNKI.
期刊介绍：
Big Data Mining and Analytics, a publication by Tsinghua University Press, presents groundbreaking research in the field of big data research and its applications. This comprehensive book delves into the exploration and analysis of vast amounts of data from diverse sources to uncover hidden patterns, correlations, insights, and knowledge.
Featuring the latest developments, research issues, and solutions, this book offers valuable insights into the world of big data. It provides a deep understanding of data mining techniques, data analytics, and their practical applications.
Big Data Mining and Analytics has gained significant recognition and is indexed and abstracted in esteemed platforms such as ESCI, EI, Scopus, DBLP Computer Science, Google Scholar, INSPEC, CSCD, DOAJ, CNKI, and more.
With its wealth of information and its ability to transform the way we perceive and utilize data, this book is a must-read for researchers, professionals, and anyone interested in the field of big data analytics.
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