Debellor Open source data mining platform for your Mac
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Debellor Description

Open source data mining platform for your Mac Debellor is an open source extensible data mining platform which provides common architecture for data processing algorithms of various types. The algorithms can be combined together to build data processing schemes of large complexity. The unique feature of Debellor is data streaming, which enables efficient processing of large volumes of data.Debellor simplifies implementation of composite data mining algorithms:- Over 120 algorithms are already available and can be used as building blocks. These include all classifiers from Weka and Rseslib libraries, all filters from Weka and a reader of arff files. - All algorithms are accessible through the same simple interface of a Cell. - Thanks to stream architecture, algorithms may process data on the fly, without buffering in memory. This enables efficient handling of large volumes of data and gives freedom of designing arbitrarily complex algorithms. - You can define new data type, specific to a particular application domain. Requirements: · Java What's New in This Release: · Naming of numerous classes/methods/fields changed to be more accurate and comprehensible. · Weka and Rseslib libraries updated to the newest versions: Weka 3.6.1 & Rseslib 3.0.1. · Debellor's wrappers adapted. New classes: · CrossValidation - evaluator of trainable cells through cross-validation · RMSE - calculation of Root Mean Squared Error score · Data objects can be compared and used in collections. · ArffReader can read from a user-provided java.io.InputStream. · More convenient use of parameters (setting values). · More convenient use of data objects and data types (construction, type casting). · Other minor improvements to existing classes. · Javadoc extended.

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