9 of the Best Free Linux Data Mining Software
Data mining (also known as knowledge discovery) is the process
of gathering large amounts of information, analyzing that information
and condensing it into meaningful data. It brings together the
fields of computer science, statistics and artificial intelligence.
Data mining is extremely important to the business community
as it enables informed, knowledge-driven decisions to be taken. This is
achieved by allowing institutions to visualise and understand their
data, and to identify patterns and relationships that dictate business
outcomes. Above all, data mining is recognised as an important tool for
any business as it enables data to be converted into business
intelligence. This intelligence can be used to generate accurate trends
about customers' purchasing behaviour, or to help in the assessment of
customers' credit rating. By embracing data mining technology,
organisations can increase their revenue stream, help to minimise
costs, as well as improving their competitive position. Data mining is
also important in the fields of science and engineering, for
surveillance, and in gaming (e.g. chess endgames).
There are dozens of different techniques that are
used in data mining to examine and transform data. Some of the common
techniques include decision trees, artificial neural networks, nearest
neighbour method, generic algorithms, and rule induction.
This article focuses in selecting the best free software for
performing data mining. Hopefully, there will be something of
interest here for anyone who needs to make strategic decisions when
confronted with large amounts of information.
So, let's explore the 9 data mining tools at hand.
For each application we have compiled its own portal page, providing a
screenshot of the software in action, a full
description with an in-depth analysis of its features, together
with links to relevant resources and reviews.
| Data Mining |
| RapidMiner |
Knowledge discovery in databases, machine learning, and
data mining |
| ELKI |
Data
mining software framework developed
for use in research and teaching |
| R |
Software
environment for statistical computing and graphics |
| KNIME |
Konstanz
Information Miner |
| Weka |
Waikato Environment for Knowledge Analysis |
| Orange |
Component-based
framework for machine learning and data mining |
| jHepWork |
Full-featured data-analysis
framework for scientists, engineers and students |
| Rattle |
Gnome
cross platform GUI for Data Mining using R |
| ROOT |
Aimed
at solving
the data analysis challenges of high-energy physics |
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Last Updated Monday, April 09 2012 @ 04:39 AM EDT
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