Open Source Data Mining
Information
This group is for discussion and experience exchange about open source software and its applications for business intelligence, predictive analytics, data mining, text mining, and web mining.
Members: 93
Latest Activity: Oct 28
Discussion Forum
feature selection 1 Reply
Started by tim. Last reply by Alfredo Russo Oct 28.
The latest ACM SIGKDD Exploration Newsletter is out. Focus on open source analytics and PMML.
Started by Alex Guazzelli Oct 19.
Silicon Valley Data Mining Camp, Nov 1, Mountain View (free)
Started by Greg Makowski Oct 18.
neural network and text classification 2 Replies
Started by tim. Last reply by Ralf Klinkenberg Oct 6.
text mining 4 Replies
Started by tim. Last reply by tim Sep 30.
need help using RapidMiner 2 Replies
Started by Yi-Chun Tsai. Last reply by AJAY OHRI Jul 19.
couldn't get R to perform Association Rule analysis 6 Replies
Started by Yi-Chun Tsai. Last reply by Yi-Chun Tsai Apr 17.
Data mining and machine learning algorithms in R 12 Replies
Started by Theodore Omtzigt. Last reply by Zakaria Y. AL-Jammal Dec. 25, 2008.
US Training Courses for Open Source Data Mining Software RapidMiner (October 2008)
Started by Ralf Klinkenberg Sep. 22, 2008.
New suggested icon for the group 4 Replies
Started by Vincent Granville. Last reply by Lucian Sep. 14, 2008.
Comment Wall
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Comment by vivek rain on April 25, 2009 at 10:53pm - other than R which open source is gaining ground
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Comment by Vincent Granville on February 24, 2009 at 3:06pm - The new icon is a picture of Donald Knuth (the "father", founder of Latex, Computer science, Algorithms, etc., living in Palo Alto).
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Comment by Ralf Klinkenberg on August 23, 2008 at 4:23am -
Hi Emory Creel,
do you have a nicer graphic you would prefer to see here?
Feel free to send it to me. Thanks.
Best regards,
Ralf
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Comment by Emory Creel on August 10, 2008 at 6:33pm -
can we get a different graphic for this group. This graphic breaks 2 major rules or graphing:
1) don't use dimensions that don't add information (3rd dim here)
2) don't use pie charts
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