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Volumn 2637, Issue , 2003, Pages 124-135

Mining patterns of dyspepsia symptoms across time points using constraint association rules

Author keywords

Association rule with constraints; Domain knowledge; Human interaction; Medical knowledge discovery

Indexed keywords

ASSOCIATION REACTIONS; ASSOCIATION RULES; DATA MINING; MEDICAL EDUCATION; ARTIFICIAL INTELLIGENCE; CONSTRAINT THEORY; LEARNING SYSTEMS;

EID: 7444260223     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_13     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 1
    • 0036668690 scopus 로고    scopus 로고
    • Empiric clustering of dyspepsia into symptom subgroups: A population-based study
    • Westbrook, J.I., Talley, N.J.: Empiric Clustering of Dyspepsia into Symptom Subgroups: a Population-Based Study. Scand. J. Gastroenterol. 37 (2002) 917-923
    • (2002) Scand. J. Gastroenterol. , vol.37 , pp. 917-923
    • Westbrook, J.I.1    Talley, N.J.2
  • 12
    • 0028485869 scopus 로고
    • Grammatically biased learning: Learning logic programs using an explicit antecedent description language
    • Cohen, W.W.: Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artif. Intell. 68 (1994) 303-366
    • (1994) Artif. Intell. , vol.68 , pp. 303-366
    • Cohen, W.W.1
  • 15
    • 0036565016 scopus 로고    scopus 로고
    • Mining sequential patterns with regular expression constraints
    • Garofalakis, M., Rastogi, R., Shim, K.: Mining Sequential Patterns with Regular Expression Constraints. IEEE Trans. Knowl. Data Eng. 14 (2002) 530-552
    • (2002) IEEE Trans. Knowl. Data Eng. , vol.14 , pp. 530-552
    • Garofalakis, M.1    Rastogi, R.2    Shim, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.