| توضیحات: | Real-world knowledge discovery processes typically consist of complex data pre -processing, machine learning, evaluation, and visualization steps. Hence a data mining platform should allow complex nested operator chains or trees, provide transparent data handling, comfortable parameter handling and optimization, be flexible, extendable and easy-to-use.
Rapid Miner (formerly Yale) is an environment for machine learning and data mining processes. A modular operator concept allows the design of com-plex nested operator chains for a huge number of learning problems. The data handling is transparent to the operators. They do not have to cope with the actual data format or different data views - the Rapid Miner core takes care of the necessary transformations. Today, Rapid Miner is the world-wide lead-in g open-source data mining solution and is widely used by researchers and companies.
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