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Volumn 42, Issue 1, 1999, Pages 73-78

Enhancing data quality in data warehouse environments

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0002148458     PISSN: 00010782     EISSN: None     Source Type: Journal    
DOI: 10.1145/291469.291471     Document Type: Article
Times cited : (194)

References (12)
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    • Don't warehouse dirty data
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    • Celko, J., and McDonald, J. Don't warehouse dirty data. Datamation 41, 19 (Oct. 1995), 42-53.
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    • Celko, J.1    McDonald, J.2
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    • Cushing, B.1
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    • Data quality and due process in large interorganizational record systems
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  • 7
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    • Estimating and improving the quality of information in an MIS
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    • Morey, R.C.1
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    • Exceptions and exception handling in computerized information processes
    • Apr.
    • Strong, D., and Miller, S. Exceptions and exception handling in computerized information processes. ACM Transactions on Information Systems 13, 2 (Apr. 1995), 206-233.
    • (1995) ACM Transactions on Information Systems , vol.13 , Issue.2 , pp. 206-233
    • Strong, D.1    Miller, S.2
  • 10
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    • Anchoring data quality dimensions ontological foundations
    • Nov.
    • Wand, Y. and Wang, R. Anchoring data quality dimensions ontological foundations. Commun. ACM 39, 11 (Nov. 1996), 86-95.
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    • Wand, Y.1    Wang, R.2
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    • Beyond accuracy: What data quality means to data consumers
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    • Wang, R.Y. and Strong, D.M. Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems 12, 4 (Spring 1996), 5-34.
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    • Wang, R.Y.1    Strong, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.