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Volumn 197, Issue 2, 2009, Pages 764-772

Data preparation using data quality matrices for classification mining

Author keywords

Application of data mining; Data manufacturing; Data preparation; Data quality

Indexed keywords

DATA REDUCTION;

EID: 60649120005     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2008.07.019     Document Type: Article
Times cited : (14)

References (29)
  • 1
    • 0024620060 scopus 로고
    • Methodology for allocating resources for data quality enhancement
    • Ballou D.P., and Tayi G.K. Methodology for allocating resources for data quality enhancement. Communications of the ACM 32 3 (1989)
    • (1989) Communications of the ACM , vol.32 , Issue.3
    • Ballou, D.P.1    Tayi, G.K.2
  • 2
    • 0002148458 scopus 로고    scopus 로고
    • Enhancing data quality in data warehouse environments
    • Ballou D.P., and Tayi G.K. Enhancing data quality in data warehouse environments. Communications of the ACM 42 1 (1999)
    • (1999) Communications of the ACM , vol.42 , Issue.1
    • Ballou, D.P.1    Tayi, G.K.2
  • 3
    • 0032045909 scopus 로고    scopus 로고
    • Modeling information manufacturing systems to determine information product quality
    • Ballou D.P., Wang R.Y., Pazer H.L., and Tayi G.K. Modeling information manufacturing systems to determine information product quality. Management Science 44 4 (1998)
    • (1998) Management Science , vol.44 , Issue.4
    • Ballou, D.P.1    Wang, R.Y.2    Pazer, H.L.3    Tayi, G.K.4
  • 5
    • 0003857778 scopus 로고    scopus 로고
    • Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
    • Technical Report. University of Berkeley, ICSI-TR-97-021, 1997
    • Bilmes J.A., 1997. Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Technical Report. University of Berkeley, ICSI-TR-97-021, 1997.
    • (1997)
    • Bilmes, J.A.1
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learning 26 2 (1996)
    • (1996) Machine Learning , vol.26 , Issue.2
    • Breiman, L.1
  • 7
    • 60649103872 scopus 로고    scopus 로고
    • An ensemble approach for stable learners with performance bounds
    • San Jose
    • Davidson, I., 2004. An ensemble approach for stable learners with performance bounds. In: 19th AAAI Conference, San Jose, 2004.
    • (2004) 19th AAAI Conference
    • Davidson, I.1
  • 8
    • 12244300519 scopus 로고    scopus 로고
    • A general approach to incorporate data quality matrices into data mining algorithms
    • Industrial Track, Seattle
    • Davidson, I., Grover, A., Satyanarayana, A., Tayi, G.K., 2004. A general approach to incorporate data quality matrices into data mining algorithms. In: 10th ACM KDD Conference - Industrial Track, Seattle.
    • (2004) 10th ACM KDD Conference
    • Davidson, I.1    Grover, A.2    Satyanarayana, A.3    Tayi, G.K.4
  • 10
    • 0002344794 scopus 로고
    • Bootstrap methods
    • Efron B. Bootstrap methods. Annals Statistics 7 (1979) 1-26
    • (1979) Annals Statistics , vol.7 , pp. 1-26
    • Efron, B.1
  • 11
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0-1 - loss, and the curse of dimensionality
    • Friedman J.H. On bias, variance, 0-1 - loss, and the curse of dimensionality. Data Mining and Knowledge Discovery 1 (1997) 55-77
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 13
    • 0002872346 scopus 로고    scopus 로고
    • Bias plus variance decomposition for zero-one loss functions
    • Morgan Kaufmann
    • Kohavi R., and Wolpert D.H. Bias plus variance decomposition for zero-one loss functions. Proceedings of the 13th ICML (1996), Morgan Kaufmann
    • (1996) Proceedings of the 13th ICML
    • Kohavi, R.1    Wolpert, D.H.2
  • 14
    • 84880904019 scopus 로고    scopus 로고
    • Tutorial on practical prediction theory for classification
    • Washington DC, August 21-24
    • Langford, J., 2003. Tutorial on practical prediction theory for classification. In: A Tutorial Presented at the 20th ICML Conference, Washington DC, August 21-24, 2003.
    • (2003) A Tutorial Presented at the 20th ICML Conference
    • Langford, J.1
  • 18
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-Hill, 1997 ISBN: 0070428077
    • Mitchell T. Machine Learning (1997), McGraw-Hill, 1997 ISBN: 0070428077
    • (1997) Machine Learning
    • Mitchell, T.1
  • 20
    • 4243102865 scopus 로고    scopus 로고
    • Assessing data quality with control matrices
    • Pierce E.M. Assessing data quality with control matrices. Communications of the ACM 47 2 (2004)
    • (2004) Communications of the ACM , vol.47 , Issue.2
    • Pierce, E.M.1
  • 25
    • 85158010005 scopus 로고
    • Refinement of approximate domain theories by knowledge-based artificial neural networks
    • Towell, G., Shavlik, J., Noordewier, M., 1990. Refinement of approximate domain theories by knowledge-based artificial neural networks. In: AAAI Conference, 1990.
    • (1990) AAAI Conference
    • Towell, G.1    Shavlik, J.2    Noordewier, M.3
  • 26
    • 0002918344 scopus 로고    scopus 로고
    • Beyond accuracy: what data quality means to data consumers
    • Wang R., and Strong D. Beyond accuracy: what data quality means to data consumers. Journal of Management Information Systems, 12 4 (1996) 5-33
    • (1996) Journal of Management Information Systems , vol.12 , Issue.4 , pp. 5-33
    • Wang, R.1    Strong, D.2
  • 27
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden context
    • Widmer G., and Kubat M. Learning in the presence of concept drift and hidden context. Journal of Machine Learning 23 1 (1996)
    • (1996) Journal of Machine Learning , vol.23 , Issue.1
    • Widmer, G.1    Kubat, M.2
  • 28


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.