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5 of the Best Free and Open Source Data Mining SoftwarePOSTED BYJUN AUZA ON 11/25/2010

The process of extracting patterns from data is called data mining. It is recognized as

an essential tool by modern business since it is able to convert data into businessintelligence thus giving an informational edge. At present, it is widely used in profiling

practices, like surveillance, marketing, scientific discovery, and fraud detection.

There are four kinds of tasks that are normally

involve in Data mining:

* Classification - the task of generalizing familiar structure to employ to new data

* Clustering - the task of finding groups and structures in the data that are in some

way or another the same, without using noted structures in the data.

* Association rule learning - Looks for relationships between variables.

* Regression - Aims to find a function that models the data with the slightest error.

For those of you who are looking for some data mining tools, here are five of the best

open-source data mining software that you could get for free:

Orange

Orange is a component-based data mining and machine

learning software suite that features friendly yet powerful, fast and versatile visual

programming front-end for explorative data analysis and visualization, and Python

bindings and libraries for scripting. It contains complete set of components for datapreprocessing, feature scoring and filtering, modeling, model evaluation, and

http://www.ailab.si/orangehttp://www.ailab.si/orangehttp://4.bp.blogspot.com/_UqUwVPikChs/TO4rPMJvt6I/AAAAAAAAPrQ/8A7JtGDCRsc/s1600/orange-data-mining-software.jpghttp://2.bp.blogspot.com/_UqUwVPikChs/TO4r2Tmkd2I/AAAAAAAAPrg/0XdSY7uwt-w/s1600/data-mining-software.jpghttp://4.bp.blogspot.com/_UqUwVPikChs/TO4rPMJvt6I/AAAAAAAAPrQ/8A7JtGDCRsc/s1600/orange-data-mining-software.jpghttp://2.bp.blogspot.com/_UqUwVPikChs/TO4r2Tmkd2I/AAAAAAAAPrg/0XdSY7uwt-w/s1600/data-mining-software.jpghttp://www.ailab.si/orange

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exploration techniques. It is written in C++ and Python, and its graphical user

interface is based on cross-platform Qt framework.

RapidMiner

RapidMiner, formerly called YALE (Yet Another Learning

Environment), is an environment for machine learning and data mining experimentsthat is utilized for both research and real-world data mining tasks. It enablesexperiments to be made up of a huge number of arbitrarily nestable operators, which

are detailed in XML files and are made with the graphical user interface of RapidMiner.

RapidMiner provides more than 500 operators for all main machine learningprocedures, and it also combines learning schemes and attribute evaluators of the

Weka learning environment. It is available as a stand-alone tool for data analysis and

as a data-mining engine that can be integrated into your own products.

Weka

Written in Java, Weka (Waikato Environment forKnowledge Analysis) is a well-known suite of machine learning software that supports

several typical data mining tasks, particularly data preprocessing, clustering,classification, regression, visualization, and feature selection. Its techniques are basedon the hypothesis that the data is available as a single flat file or relation, where each

data point is labeled by a fixed number of attributes. Weka provides access to SQL

databases utilizing Java Database Connectivity and can process the result returned bya database query. Its main user interface is the Explorer, but the same functionalitycan be accessed from the command line or through the component-based Knowledge

Flow interface.

JHepWork

http://rapidminer.com/http://rapidminer.com/http://www.cs.waikato.ac.nz/~ml/weka/http://www.cs.waikato.ac.nz/~ml/weka/http://2.bp.blogspot.com/_UqUwVPikChs/TO4rOpDvkVI/AAAAAAAAPrI/B7HFz7N6CE4/s1600/data-mining-software-weka.jpghttp://4.bp.blogspot.com/_UqUwVPikChs/TO4rN_g8AYI/AAAAAAAAPrA/5ZtyCxk8F04/s1600/data-mining-software-rapidminer.jpghttp://2.bp.blogspot.com/_UqUwVPikChs/TO4rOpDvkVI/AAAAAAAAPrI/B7HFz7N6CE4/s1600/data-mining-software-weka.jpghttp://4.bp.blogspot.com/_UqUwVPikChs/TO4rN_g8AYI/AAAAAAAAPrA/5ZtyCxk8F04/s1600/data-mining-software-rapidminer.jpghttp://www.cs.waikato.ac.nz/~ml/weka/http://rapidminer.com/

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Designed for scientists, engineers and students,jHepWorkis a freeand open-source data-analysis framework that is created as an attempt to make a

data-analysis environment using open-source packages with a comprehensible user

interface and to create a tool competitive to commercial programs. It is specially madefor interactive scientific plots in 2D and 3D and contains numerical scientific libraries

implemented in Java for mathematical functions, random numbers, and other datamining algorithms. jHepWork is based on a high-level programming language Jython,

but Java coding can also be used to call jHepWork numerical and graphical libraries.

KNIME

KNIME (Konstanz Information Miner) is a user friendly,

intelligible, and comprehensive open-source data integration, processing, analysis, andexploration platform. It gives users the ability to visually create data flows or pipelines,

selectively execute some or all analysis steps, and later study the results, models, and

interactive views. KNIME is written in Java, and it is based on Eclipse and makes use ofits extension method to support plugins thus providing additional functionality.Through plugins, users can add modules for text, image, and time series processing

and the integration of various other open source projects, such as R programminglanguage, Weka, the Chemistry Development Kit, and LibSVM.

If you know of other free and open-source data mining software, please share themwith us via comment.

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