A Flexible Platform for Knowledge Discovery Experiments: YALE – Yet Another Learning Environment
نویسندگان
چکیده
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, extendible and easy-to-use. Depending on the task at hand, a user may want to interactively explore different knowledge discovery chains and continuously inspect intermediate results, or he may want to perform highly automated experiments off-line in batch mode. Therefore an ideal data mining platform should offer both, interactive and batch interfaces. In this paper, we propose YALE, Yet Another Learning Environment, which meets these requirements.
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