Rexer's Annual Data Miner Survey

Rexer Analytics’s Annual Data Miner Survey is the largest survey of data mining, data science, and analytics professionals in the industry. It consists of approximately 50 multiple choice and open-ended questions that cover seven general areas of data mining science and practice: (1) Field and goals, (2) Algorithms, (3) Models, (4) Tools (software packages used), (5) Technology, (6) Challenges, and (7) Future. It is conducted as a service (without corporate sponsorship) to the data mining community, and the results are usually announced at the PAW (Predictive Analytics World) conferences and shared via freely available summary reports. In the most recent survey (2013), 1259 data miners from 75 countries participated.[1] After 2011, Rexer Analytics moved to a biannual schedule.

Surveys

  1. 2013 Survey: 68-item survey; 1259 participants from 75 countries.
  2. 2011 Survey: 52-item survey; 1319 participants from over 60 countries.[1] Citations include [2][3]
  3. 2010 Survey: 50-item survey; 735 participants from 60 countries.[4][5] Citations include [6][7][8][9][10][11][12]
  4. 2009 Survey: 40-item survey; 710 participants from 58 countries.[13] Citations include [14][15][16][17]
  5. 2008 Survey: 34-item survey; 348 participants from 44 countries.[18] Citations include [19]
  6. 2007 Survey: 27-item survey; 314 participants from 35 countries.[20][21]

Recent survey results

While the five Data Miner surveys have covered many data mining topics, the three topics that get the most attention in citations and at conference presentations are:

References

  1. 1 2 Karl Rexer, Heather Allen, & Paul Gearan (2011); 2011 Data Miner Survey Summary, presented at Predictive Analytics World, Oct. 2011.
  2. Bob Thompson (2012); Big Data and Analytics in a Customer-Focused Enterprise: Inside Scoop with Karl Rexer, CustomerThink, August 7, 2012.
  3. Selena Welz (2012); Meet R: a programming language that makes sense of Big Data, Technology @ Work, Tendo Communications, November 2012.
  4. Karl Rexer, Heather Allen, & Paul Gearan (2010); 2010 Data Miner Survey Summary, presented at Predictive Analytics World, Oct. 2010.
  5. Karl Rexer, Heather Allen, & Paul Gearan (2011); Understanding Data Miners, Analytics Magazine, May/June 2011 (INFORMS: Institute for Operations Research and the Management Sciences).
  6. Paško Konjevoda and Nikola Štambuk (2012); Open-Source Tools for Data Mining in Social Science, Theoretical and Methodological Approaches to Social Sciences and Knowledge Management, Asunción López-Varela (Ed.), ISBN 978-953-51-0687-6.
  7. Emilia Mikołajewska and Dariusz Mikołajewski (2011); System eksploracji danych na potrzeby obronności państwa], Kwartalnik Bellona, 2011, Volume 3, pages 119-129 (Data Mining system for national security purposes, Bellona Quarterly, Scientific Journal of the Polish Ministry of National Defense; Article is in Polish).
  8. Tomasz Ząbkowski (2011); Data Mining - Current State and Future Trends, Information Systems in Management XIII, Business Intelligence and Knowledge Management, Warsaw University of Life Sciences Press, Warsaw, 2011, pages 122-130; ISBN 978-83-7583-370-6.
  9. Tuba Islam (2011); How to use Analytics to Improve Your Business: Real Practices, SAS Business Analytics Series, Istanbul, Turkey, April, 2011 (presentation is in Turkish).
  10. Shawn Hessinger (2011); CRM & Marketing Top Fields for Data Miners, All Analytics, November 9, 2011.
  11. Gustavo Valencia (2012); Minería de Datos: Sesión 0, Universidad Pontificia Bolivariana, Graduate class: Data mining and Information visualization, 2012 (Presentation is in Spanish).
  12. 1 2 Robert A. Muenchen (2012); The Popularity of Data Analysis Software.
  13. Karl Rexer, Heather Allen, & Paul Gearan (2009); 2009 Data Miner Survey Summary, presented at SPSS Directions Conference, Oct. 2009.
  14. M. Arthur Munson (2011); A Study on the Importance of and Time Spent on Different Modeling Steps, ACM SIGKDD Explorations, Volume 13, Issue 2, December 2011, pages 65-71.
  15. Ervina Çergani (2009); Data Mining Survey, Survey of Businesses in Tirana, Albania; July, 2009 (Originally in Albanian, translated into English).
  16. Valerie Valentine (2010); Data Miner Survey Shows Positive Signs, Information Management, March 25, 2010.
  17. Ajay Ohri (2009); Interview Karl Rexer - Rexer Analytics.
  18. Karl Rexer, Paul Gearan, & Heather Allen (2008); 2008 Data Miner Survey Summary, presented at SPSS Directions Conference, Oct. 2008, and Oracle BIWA (Business Intelligence, Data Warehousing and Advanced Analytics) Summit, Nov. 2008.
  19. Mayato (2008); Mayato Study: Data Mining Software 2009, November 2008 (available in German and English).
  20. Karl Rexer, Paul Gearan, & Heather Allen (2007); 2007 Data Miner Survey Summary, presented at SPSS Directions Conference, Oct. 2007, and Oracle BIWA Summit, Oct. 2007.
  21. Karl Rexer, Paul Gearan, & Heather Allen (2008); Portrait of a data miner, Quirk's Marketing Research Media, March 2008.
  22. Gregory Piatetsky-Shapiro (2011); Algorithms for Data Analysis / Data Mining, KDnuggets, 2011.
  23. Gregory Piatetsky-Shapiro (2007); Data Mining Methods, KDnuggets, 2007.
  24. David Smith (2012); R Tops Data Mining Software Poll, Java Developers Journal, May 31, 2012.
  25. Gregory Piatetsky-Shapiro (2011); Data Mining / Analytic Tools Used, KDnuggets, 2011.
  26. Gregory Piatetsky-Shapiro (2010); Data Mining / Analytic Tools Used Poll, KDnuggets, 2010.
  27. Haughton, Dominique; Deichmann, Joel; Eshghi, Abdolreza; Sayek, Selin; Teebagy, Nicholas; and Topi, Heikki (2003); A Review of Software Packages for Data Mining, The American Statistician, Vol. 57, No. 4, pp. 290–309.
  28. Nisbet, Robert A. (2006); Data Mining Tools: Which One is Best for CRM? Part 1, Information Management Special Reports, January 2006.
  29. Karl Rexer, Paul Gearan, & Heather Allen (2010); Overcoming Data Mining Challenges, verbatim responses are available online.
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