Weka : Data Mining Software
Weka is open source software issued under the GNU General Public License.
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Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature.
An energizing and possibly broad improvement in computer engineering is the development and use of techniques for machine learning (ML). These empower a computer program to naturally examine a vast collection of information and choose what data is generally significant. This solidified data can then be utilized to naturally make expectations or to individuals settle on choices quicker and all the more precisely.
The main Objectives of this project are followed below:
History
This has incorporated several standard machine language techniques into a software "workbench" called Weka, for Waikato Environment for Knowledge Analysis. It is able to use ML to derive useful knowledge from databases that are far too large to be analyzed by hand. Weka's users are machine language researchers and industrial scientists, but it is also widely used for teaching.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature.
They have put together several free online courses that teach machine learning and data mining using Weka.
for more info please visit :http://www.cs.waikato.ac.nz/ml/weka/index.html
Reference :
Mark Hall,
Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H.
Witten (2009); The WEKA Data Mining Software: An Update; SIGKDD Explorations,
Volume 11, Issue 1.
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