Datamining open source software alternatives

Question

I am evaluating datamining packages.
I have find these two so far:

RapidMiner

Weka

Do you have any experience to share with these two products, or any other product to recommend me?
Thanks

Answer 1

I have used Weka in a high school course, and it had a nice SVM implementation. This was 4 or 5 years ago.

Answer 2

Pentaho is a nice suit for Business Intelligence. So maybe you would like to take a look at it. I have some experience in it, mainly for data warehousing and was quite happy.

Answer 3

Another alternative would be Orange. It includes various algorithms and data mining techniques that you can access either directly through Python scripts or through GUI.

Answer 4

Re-invent the wheel and code directly in R !

Answer 5

According to the yearly KDnuggets Polls 2007, 2008, and 2009, RapidMiner is the most widely used Open Source Data Mining Solution among data mining experts world-wide: KDnuggets Data Mining Tool Poll 2009

RapidMiner is open source and 100% Java, RapidMiner is much more flexible and offers significantly more functionality than Weka and KNIME.

Regarding SVM implementations: Weka comes with one such implementation (LibSVM), while RapidMiner provides four SVM implementations (LibSVM, MySVM, EvoSVM, SMO-SVM), some of them with more advanced features.

Answer 6

As said before, Pentaho is a powerful Business Intelligence suite which WEKA belong to.

So I'd also recommand Weka, just for the sake that you have a great solution to extend your application and a great community also.

Answer 7

(KNIME ) is fairly extensive data mining platform.