Abstrait

Data Mining & Data Stream Mining � Open Source Tools

Darshana Parikh, Priyanka Tirkha

Term of data mining was available in mid of 1990’s. Previously offered through shell script, command line argument, filtering , pipeline. Today its awkward. Now days no of tools are developed by research community in data mining. They provides GUI interface so users can easily communicate. Also they are provide free of cost using open source license. Because of open source users can extend any new method and also provides flexibility in handling various types of data. Here we describe open source tools for data mining and data stream mining. Here we introduce R, WEKA, ORANGE, KNIME and MOA. Our proposed structure use open source tool MOA. MOA contains collections of online and offline for both classification and clustering as well as tools for evaluation. And for data stream mining today MOA is best tool.