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From machine learning to knowledge discovery: Survey of preprocessing and postprocessing

机译:从机器学习到知识发现:预处理和后处理概览

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摘要

Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or 'patterns' form usually very large databases. It portrays a robust sequence of procedures or steps that have to be carried out to derive reasonable and understandable results.
机译:在过去的几年中,数据库知识发现(KDD)已成为研究和行业非常有吸引力的学科。它的目标是从通常非常大的数据库中提取知识或“模式”。它描绘了一系列合理的过程或步骤,必须执行这些过程才能得出合理和可理解的结果。

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