No Title. Start [jHepWork online manual] Read this online manual to unleash the full power of SCaVis (jHepWork, 2005-2013) for scientific computation and graphical visualization using Java libraries. A more complete description of how to use Java, Jython and SCaVis for scientific analysis can be found in the book Scientific data analysis using Jython and Java (by S.V.Chekanov) published by Springer Verlag, London, 2010. SCaVis is a successor of the popular jHepWork package which has been under intensive development since 2005. It is fully backward compatible with jHepWork 3.9. For beginners: Look at the jWorkLearn portal for interactive tutorials (Python, SCaVis,jMathLab) General topics Mathematics, numeric calculations and visualisation Data analysis and IO Statistics and artificial intelligence Symbolic calculations Natural science and market analysis Tools and image processing For developers This red box indicates that you have a limited access to this manual.
Weka 3 - Data Mining with Open Source Machine Learning Software in Java. Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. The videos for the courses are available on Youtube. Weka supports deep learning! SNNS- Stuttgart Neural Network Simulator. 5 of the Best Free and Open Source Data Mining Software.
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 business intelligence 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 RapidMiner Weka JHepWork.