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Volumn 129, Issue , 2007, Pages 576-580

Results from data mining in a radiology department: The relevance of data quality

Author keywords

data mining; data quality; radiology; workflow

Indexed keywords

CLUSTER ANALYSIS; QUALITY CONTROL; RADIATION; RADIOLOGY;

EID: 38449112580     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 2
    • 32644451660 scopus 로고    scopus 로고
    • Data: An Unfolding Quality Disaster
    • Redman TC. Data: An Unfolding Quality Disaster. DM Review Magazine. 2004;08.
    • (2004) DM Review Magazine , vol.8
    • Redman, T.C.1
  • 8
    • 0022064511 scopus 로고
    • A best possible heuristic for the kcenter problem
    • Hochbaum, Shmoys. A best possible heuristic for the kcenter problem. Mathematics of Operations Research. 1985;10(2):180-184.
    • (1985) Mathematics of Operations Research , vol.10 , Issue.2 , pp. 180-184
    • Hochbaum, S.1
  • 9
    • 0003500248 scopus 로고
    • San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. ISBN:1-55860-238-0
    • Quinlan JR. C4. 5: programs for machine learning. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. ; 1993. ISBN:1-55860-238-0.
    • (1993) C4. 5: Programs for Machine Learning
    • Quinlan, J.R.1
  • 10
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte RC. Very simple classification rules perform well on most commonly used datasets. Machine Learning. 1993;11:63-91.
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.C.1
  • 11
    • 33748338418 scopus 로고    scopus 로고
    • Christchurch, New Zealand: University of Canterbury, Christchurch, New Zealand. University of Canterbury, Christchurch, New Zealand
    • Roy S. Nearest Neighbor With Generalization. Christchurch, New Zealand: University of Canterbury, Christchurch, New Zealand; 2002. University of Canterbury, Christchurch, New Zealand.
    • (2002) Nearest Neighbor with Generalization
    • Roy, S.1
  • 12
    • 70350501227 scopus 로고    scopus 로고
    • Hunting of the snark-finding data glitches using data mining methods
    • MIT
    • Dasu T, Johnson T. Hunting of the Snark-Finding Data Glitches using Data Mining Methods. In: Fourth Conference on Information Quality (IQ 1999). vol. 4. MIT; 1999. p. 89-98
    • (1999) Fourth Conference on Information Quality (IQ 1999). , vol.4 , pp. 89-98
    • Dasu, T.1    Johnson, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.