DocumentCode :
142251
Title :
Applying balanced scordcard strategic performance management to CRISP-DM
Author :
Zhang Yun ; Li Weihua ; Chen Yang
Author_Institution :
Sch. of Comput., Northwestern Polytech. Univ., Xi´an, China
Volume :
3
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
2009
Lastpage :
2014
Abstract :
CDM-BSC(CRISP-DM applied with Balance Scorecard), which is a new term. CDM-BSC concept is developed from combination of traditional Data Mining Methodology and BSC for performance measurement systems. Balance Scorecard applied to CRISP-DM is a new methodology of improving the performance of Data Mining Process. CRISP-DM plus BS C (Balance Scorecard) is an enhancement of abstractive conception of multidimensional-perspective for data mining process to optimize the whole process and structure of data mining cycle with limited profitable resource. CDM-BSC not only indentify relationship between the phases of data mining process, but also to adjust effort for each point of CRISP-DM based on different business targets. CDM-BSC provides integrated platform supports decision making from strategy level, tactical level to operation level, and then deploys the re-engineered processing solution into data mining process. This combination will demonstrate to produce profound performance improvement while DM smooths transaction.
Keywords :
business data processing; data mining; decision making; CDM-BSC; CRISP-DM applied with balance scorecard; balanced scorecard strategic performance management; data mining methodology; data mining process; decision making; performance measurement systems; Accuracy; Analytical models; Business; Data mining; Data models; Predictive models; Radar; Balance Scordcard; Business value; CDM-BSC(CRISP-DM applied with Balance Scorecard); Data mining process; Multidimensional-perspective; Performance Management Optimization; Radar Diagram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
Type :
conf
DOI :
10.1109/InfoSEEE.2014.6946275
Filename :
6946275
Link To Document :
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