Let me share the highlights at the survey here.
- 27-item survey of data miners, conducted on-line in early 2007
- 314 responses from individuals in 35 countries
- Regression, decision trees and cluster analysis were the most commonly used algorithms (mean number of algorithms used: 6.8)
- Top challenges data miners report are dirty data, data access, and explaining data mining to others
- SPSS, SPSS Clementine, and SAS are the three most frequently utilized tools (mean number of tools used: 4.5)
- There is increasing interest in the Oracle Data Mining tool, and decreasing interest in C4.5/C5.0/See5
- The primary factors data miners consider when selecting an analytic tool are: 1) the dependability and stability of software, 2) the ability to handle large data sets, and 3) data manipulation capabilities
- The findings vary somewhat depending on the domain in which the data miner works, the tools used, geography, and several other dimensions
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I am going for a 2 week trip to Nepal, my home country, starting today and am pretty much excited. Going after almost 2 years, so hoping to have great time with my family and friends. For that time I may be out of touch from this blog, after all family deserves equal attention and time, if not more. What say!!
Cheers !!
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