Title :
The Study of Multidimensional-Data Flow of Fishbone Applied for Data Mining
Author :
Yun, Zhang ; Weihua, Li ; Yang, Chen
Author_Institution :
Inst. of Comput. Sci., Northwestern Polytech. Univ., Xi´´an, China
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.
Keywords :
data flow analysis; data mining; pattern classification; abstractive conception; association rule mining; complex dataflow; data classification; data mining driven fishbone; data preprocessing; end-to-end DMDF diagram; multidimensional-data flow; reengineered data mining process; Application software; Cause effect analysis; Computer architecture; Computer science; Conference management; Data mining; Data preprocessing; Engineering management; Multidimensional systems; Software engineering; DMDF (data mining driven fishbone); Data mining process; Fishbone; Methodology & Architecture; Multidimensional-Data flow;
Conference_Titel :
Software Engineering Research, Management and Applications, 2009. SERA '09. 7th ACIS International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-3903-4
DOI :
10.1109/SERA.2009.22