The Study of Multidimensional-Data Flow of Fishbone Applied for Data Mining

Yun Zhang, Weihua Li, Yang Chen
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引用次数: 6

Abstract

Data Mining Driven Fishbone, which is whole a new term, is an enhancement of abstractive conception of multidimensional-data flow of fishbone applied for data mining to optimize the process and structure of data mining. End-to-end DMDF diagram includes complex dataflow and different processing component and improvements for numerous aspects in multiply level. DMDF provides integrated platform and mixed methodology to support the whole life cycle of data mining with comprehensive methodology. Data preprocessing, data Classification, Association rule mining and Prediction are the foundation and linkage of the whole data mining process life cycle. DMDF supports combination of different mining component from strategy level, tactical level to abstractive level, and then re-engineered data mining process into execution system to realize reasonable architecture. DMDF is a new direction of the structure of data mining process.
鱼骨多维数据流在数据挖掘中的应用研究
数据挖掘驱动鱼骨是对鱼骨多维数据流抽象概念的强化,应用于数据挖掘,优化数据挖掘的过程和结构,是一个全新的术语。端到端DMDF图包括复杂的数据流和不同的处理组件,并在多个层次上对许多方面进行了改进。DMDF提供集成平台和混合方法,以综合方法支持数据挖掘的整个生命周期。数据预处理、数据分类、关联规则挖掘和预测是整个数据挖掘过程生命周期的基础和纽带。DMDF支持从战略层、战术层到抽象层的不同挖掘组件组合,将数据挖掘过程重新设计为执行系统,实现合理的体系结构。DMDF是数据挖掘过程结构的一个新方向。
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