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  • 标题:Assessing Real World Applications of Data Mining With SAS Enterprise Miner (EM): A Technical Report for Teaching the Big Data Generation
  • 本地全文:下载
  • 作者:Chon Abraham ; Margaret Poston
  • 期刊名称:Journal of Emerging Trends in Computing and Information Sciences
  • 电子版ISSN:2079-8407
  • 出版年度:2015
  • 卷号:6
  • 期号:9
  • 页码:488-504
  • 出版社:ARPN Publishers
  • 摘要:The explosive growth in data collection across different industries has made it necessary to have processes that can infer useful information from this data in a limited amount of time. The software application describes data mining techniques and illustrates the practicality of data mining using SAS Enterprise Miner (EM), leading data analytics software, through two separate data sets and case studies provided by SAS as part of a teaching series. As academic institutions continue to revamp and develop curriculum to meet the challenges of educating the “the big data” generation, assessment and overview of leading tools in industry is insightful for educators to contextualize problems for students. This paper is an attempt to do so.
  • 关键词:Big data; data mining; SAS enterprise miner; knowledge discovery in databases
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