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Note: This is a discontinued product.
The Mathematica application package machine learning framework is a multimethod system for creating understandable computational models from data. It integrates computationally optimized methods for all types of data mining and machine learning applications implemented in C++ and then integrated into Mathematica.
This program is a complete solution for business and financial engineers, process and manufacturing engineers, quality assurance professionals, and all experts who want to extract computational models and knowledge from data. Knowledge engineers and machine learning experts can use machine learning framework to customize and configure machine learning solutions and to search for quick modeling capabilities, prediction, and control of input-output relations.
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uni software plus, machine learning framework, mathematica, computational models, data analysis, fuzzy logic, machine, learning, learning methods, learning algorithms, supervised analysis, decision trees, fs-id3, rule induction, fs-foil, foil method, fs-miner, numerical optimization, fuzzy rules, unsupervised analysis, self-organizing maps, clustering, fuzzy sets, forecasting, classification, logical inference
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