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Volumn , Issue , 2014, Pages 21-36

Measuring data accuracy: A framework and review

Author keywords

Cost of Poor Data Quality; Data Accuracy; Data Supplier Management; Information Chain; Measurement System; Second Generation Data Quality Systems

Indexed keywords


EID: 85086512680     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (18)

References (17)
  • 2
    • 21344495968 scopus 로고
    • Measurement Assurance: Role of Statistics and Support from International Statistical Standards
    • Carey, M.B. 1994. "Measurement Assurance: Role of Statistics and Support from International Statistical Standards." International Statistical Review 61, no. 1: 27-40.
    • (1994) International Statistical Review , vol.61 , Issue.1 , pp. 27-40
    • Carey, M.B.1
  • 3
    • 11844251799 scopus 로고    scopus 로고
    • Data Quality and the Bottom Line: Achieving Business Success Through a Commitment to High Quality Data
    • Data Warehousing Institute (TDWI) Report Series, March
    • Eckerson, W.W. 2002. "Data Quality and the Bottom Line: Achieving Business Success Through a Commitment to High Quality Data." Data Warehousing Institute (TDWI) Report Series, March.
    • (2002)
    • Eckerson, W.W.1
  • 6
    • 85086517558 scopus 로고    scopus 로고
    • Data Quality Mining: Making a Virtue of Necessity
    • E.M. Pierce and R. Katz-Haas, Cambridge: Massachusetts Institute of Technology
    • Hipp, J.; Güntzer, U.; and Grimmer, U. 2001. "Data Quality Mining: Making a Virtue of Necessity." In Proceedings of the ACM SIGMOD/PODS 2001 Conference (Workshop DMKD'01), ed. E.M. Pierce and R. Katz-Haas, 217-232. Cambridge: Massachusetts Institute of Technology.
    • (2001) Proceedings of the ACM SIGMOD/PODS 2001 Conference (Workshop DMKD'01) , pp. 217-232
    • Hipp, J.1    Güntzer, U.2    Grimmer, U.3
  • 14
    • 33748514256 scopus 로고    scopus 로고
    • Quality Mining: A Data Mining Based Method for Data Quality Evaluation
    • E.M. Pierce and R. Katz-Haas, Cambridge: Massachusetts Institute of Technology
    • Soler, Sabrina Vázquez, and Yankelevich, Daniel. 2001. "Quality Mining: A Data Mining Based Method for Data Quality Evaluation." In Proceedings of the Sixth International Conference on Information Quality, ed. E.M. Pierce and R. Katz-Haas, 162-172. Cambridge: Massachusetts Institute of Technology.
    • (2001) Proceedings of the Sixth International Conference on Information Quality , pp. 162-172
    • Soler, S.V.1    Daniel, Y.2
  • 15
    • 3543145362 scopus 로고
    • Measurement Assurance
    • In G. Salvendy 1st ed. New York: Wiley
    • Speitel, K.F. 1982. "Measurement Assurance." In G. Salvendy, Handbook of Industrial Engineering, 1st ed., 1877-1886. New York: Wiley.
    • (1982) Handbook of Industrial Engineering , pp. 1877-1886
    • Speitel, K.F.1
  • 17
    • 0002918344 scopus 로고    scopus 로고
    • Beyond Accuracy: What Data Quality Means to Data Consumers
    • Spring
    • Wang, R.Y., and Strong, D.M. 1996. "Beyond Accuracy: What Data Quality Means to Data Consumers." Journal of Management Information Systems 12, no. 4 (Spring): 5-33.
    • (1996) Journal of Management Information Systems , vol.12 , Issue.4 , pp. 5-33
    • Wang, R.Y.1    Strong, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.