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  • 标题:Trend Analysis Using Hadoop and Its Ecosystems
  • 本地全文:下载
  • 作者:Deepak Ranjan ; Dr. Tripti Arjariya ; Dr. Mohit Gangwar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:5
  • 页码:9775
  • DOI:10.15680/IJIRCCE.2017.0505260
  • 出版社:S&S Publications
  • 摘要:Social media generates massive amounts of data every minute, which is caused by its mainstreamadoption over the past years. Innovations in the industry have enabled new ways of communications between peopleand created many business opportunities. Big Data in social media require effective and advanced processingtechnologies. Purpose of data mining analyses is to find valuable patterns and insights from Twitter data. Thus, analysisfor twitter data is meaningful for both individuals and organizations to make decisions. Due to the huge amount of datagenerated by twitter every day, a system which can store and process big data is becoming a problem. In this paper, wepresent a method to collect twitter data sets, and store and analyze the data sets on Hadoop platform.
  • 关键词:Hadoop; data mining; data analysis ;social datas; bigdata analytical tools.
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