Weave (Web-based Analysis and Visualization Environment) Web-Harvest Project Home Page. 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. Weka supports deep learning! XELOPES - prudsys. The prudsys XELOPES (eXtEnded Library fOr Prudsys Embedded Solutions) is a platform and data source independent business intelligence library which unites classical data mining methods and new real time analytics.
The library can be used as standalone software, offering pre-fabricated solutions to fundamental analytics problems; furthermore, it can be integrated into other software products, emphasising its full performance capacity as an embedded analytical tool. Especially when it comes to new and complex problems, the numerous algorithms of the prudsys XELOPES, which can be combined in modules, allow for the development of adequate solutions. Data mining standards prudsys XELOPES supports essential BI standards.
This includes CWM, an OMG standard, which specifies the fundamental class structure for a business warehouse in UML, and PMML, an XML format to serialise and exchange data mining models. Stream access Analytical functions Agent framework. Open Source – Orange. The R Project for Statistical Computing.