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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Assessing Real World Applications of Data Mining With SAS Enterprise Miner (EM): A Technical Report for Teaching the Big Data Generation

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Author Chon Abraham , Margaret Poston
ISSN 2079-8407
On Pages 488-504
Volume No. 6
Issue No. 9
Issue Date October 1, 2015
Publishing Date October 1, 2015
Keywords Big data, data mining, SAS enterprise miner, knowledge discovery in databases


Abstract

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.
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