Mining the hidden knowledge in the spatial data of Geographic Information System (GIS) is an important direction in the study fields of GIS and data mining.
挖掘隐藏在地理信息系统(GIS)的空间数据中的知识是GIS研究领域和数据挖掘领域的重要方向。
Data Mining is the process of extracting hidden knowledge from large volumes of raw data.
数据挖掘是从大量原始数据中抽取隐藏知识的过程。
Data mining is the process that extracts hidden, unknown and the potential value of information and knowledge form large amounts of data of the database.
数据挖掘是从数据库的大量数据中提取隐含的、未知的并有潜在价值的信息和知识的过程。
Data mining (DM) is to extract knowledge from huge datasets, the purpose of which is to find the useful patterns hidden behind the data.
数据挖掘(DM)就是从大型数据集中抽取知识，其目的是发现深藏在一般数据之中的有用模式。
The purpose of data mining is to discovery hidden and useful knowledge which can support the science decision from huge amounts of data.
数据挖掘的任务是从海量数据中发现隐含的有用知识，为科学决策提供支持。
The purpose of data mining is to discovery hidden and useful knowledge which can support the science decision from huge amounts of data.
数据挖掘的任务是从海量数据中发现隐含的有用知识，为科学决策提供支持。
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