数据的存储存在多源化,从多数据源中进行局部模式挖掘为不同层次决策提供服务是数据挖掘领域的一个研究热点。文章介绍了多数据源挖掘方法的研究进展,从数据源的划分、多种模式的挖掘、局部模式的合成等方面进行了详细的阐述和分析,并指出了多数据源挖掘的进一步研究方向。
The data generally store at multiple data sources, so local mining patterns from multiple data sources for decision-making at different levels are a hot topic in the field of data mining. Firstly, the research progress of multiple data sources mining methods is introduced. Then, data source classifica- tion, various mining patterns, local patterns synthesis and so on are analyzed. Finally, the future re- search direction of multiple data sources mining is given.