MOAManager: A tool to support data stream experiments

SOFTWARE-PRACTICE & EXPERIENCE(2020)

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摘要
This short communication describes Massive Online Analysis Manager Hypertext Preprocessor framework (MOAManager), an open-source web tool that assists in the creation, execution, extraction, and formatting of experiments in online environments using the MOA framework. MOAManager also brings together a set of features for data analysis, including the calculation of metrics and statistical tests for performance evaluation. The purpose of the tool is to provide a structure that automates several repetitive experimental steps, helping the users to customize, run, and analyze the experiments quickly and reliably, enabling gains in productivity.
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关键词
concept drift,online learning,performance analysis,PHP,statistical analysis,tool
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