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AzszpClean: a rule-based solution to data cleaning

LI Jun-kui,WANG Yuan-zhen,LI Zhuan   

  1. College of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan 430074, Hubei, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: LI Jun-kui

Abstract: Data cleaning is one of the important methods to improve the data quality in data integration. An approach to data cleaning called AzszpClean was proposed, which combines data transformation and filtering, and dynamically compiles the cleaning rules. The experimental results show that AzszpClean outperforms hard coding with more efficiency of implementation.

Key words: descriptive power , dynamic rule compiling, data cleaning

CLC Number: 

  • TP331
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