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R Tops Data Mining Software Poll
By David Smith
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May 31, 2012 07:37 PM EDT
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 2,281
For the past 12 years, KDNuggets has conducted an annual poll asking "What analytics/data mining software you used in the past 12 months for a real project (not just evaluation)". In this year's poll, R was the top-ranked data mining solution, selected by 30.7% of poll respondents. Microsoft Excel was second, at 29.8%. Rapidminer, which took the #1 spot over R in 2011 and 2010, ranked third. And as Bob Muenchen notes, four of the top five ranked data mining solutions in this year's poll are open-source. R was also ranked in this poll as the most popular language for implementing data mining application, beating out SQL and Java. See the link below for the complete list of tools ranked in the KDNuggets poll. KDNuggets: Poll Results: Top Analytics,Data Mining, Big Data software used 

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Published May 31, 2012 – Reads 2,281
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David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid