Datamining open source software alternatives [closed]

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Closed 7 years ago.

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

回答1:

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.

回答2:

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.

回答3:

Re-invent the wheel and code directly in R !

回答4:

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.

回答5:

If you are interested in some Java code related to frequent pattern mining, association rules and sequential pattern mining, I have a small open-source projects that has 42 algorithms related to these topics: http://www.philippe-fournier-viger.com/spmf/

However, please note that it does not provide any user interface. But it provides some very specialized algorithms that you will not find in other data mining packages.

回答6:

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

回答7:

(KNIME ) is fairly extensive data mining platform.

回答8:

According to the KDnuggets Poll 2011, RapidMiner once more is the most widely used data mining solution world-wide: http://www.kdnuggets.com/2011/05/tools-used-analytics-data-mining.html

回答9:

Have a look at ELKI, which is like WEKA except it is much much stronger on clustering and outlier detection, while WEKA essentially only does classification well.

回答10:

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.

来源：https://stackoverflow.com/questions/243033/datamining-open-source-software-alternatives