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Research Papers

Data Mining Consulting Improve Data Quality

Authors:

Xingsen Li ,

School of Management, Graduate University of the Chinese Academy of Sciences, Beijing, 100080 Research Center on Fictitious Economy & Data Science, CAS, Beijing, 100080, China
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Yong Shi,

Research Center on Fictitious Economy & Data Science, CAS, Beijing, 100080, China Graduate University of the Chinese Academy of Sciences, Beijing, 100039
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Jun Li,

School of Management, Graduate University of the Chinese Academy of Sciences, Beijing, 100080 Research Center on Fictitious Economy & Data Science, CAS, Beijing, 100080, China
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Peng Zhang

Research Center on Fictitious Economy & Data Science, CAS, Beijing, 100080, China School of Information science and engineering, Graduate University of the Chinese Academy of Sciences, Beijing, 100080
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Abstract

Data are important for making decisions. However, the quality of the data affects the quality of decisions. Data mining as one of the most important sources of knowledge needs high quality data to mine, but there are not enough good quality data in many enterprises. By analyzing the reasons for low data quality systematically, a new method called data mining consulting for improving data quality has been established. It defines data quality in a wider sense from the view of data mining, finds data quality problems, and solves data quality problems by a series of methods. Its application shows that it has good practicality and can increase data quality considerable.
DOI: http://doi.org/10.2481/dsj.6.S658
How to Cite: Li, X. et al., (2007). Data Mining Consulting Improve Data Quality. Data Science Journal. 6, pp.S658–S666. DOI: http://doi.org/10.2481/dsj.6.S658
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Published on 12 Oct 2007.
Peer Reviewed

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