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Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science

机译:数据库中的数据挖掘和知识发现:在天文学和行星科学中的应用

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摘要

Knowledge Discovery in Databases (KDD) is a new field of research concerned with the extraction of high-level information (knowledge) from low-level data (usually stored in large databases) (1). It is an area of interest to researchers and practitioners from any fields including: AI, statistics, pattern recognition, databases, visualization, and high-performance and parallel computing. The basic problem is to search databases for patterns or models that can be useful in accomplishing one or more goals.
机译:数据库知识发现(KDD)是一个新的研究领域,涉及从低级数据(通常存储在大型数据库中)中提取高级信息(知识)(1)。这是任何领域的研究人员和实践者感兴趣的领域,其中包括:AI,统计,模式识别,数据库,可视化以及高性能和并行计算。基本问题是在数据库中搜索对实现一个或多个目标有用的模式或模型。

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