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Volumn 3, Issue , 2011, Pages 759-763

Predicting food demand in food courts by decision tree approaches

Author keywords

CART; CHAID; Decision Trees; Food demand; Microsoft Decision Trees

Indexed keywords

CART; CHAID; DATA SETS; DECISION TREE METHOD; FOOD CONSUMPTION; FOOD COURT; FOOD DEMAND; MICROSOFT; PREDICTION ACCURACY;

EID: 79952500519     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2010.12.125     Document Type: Conference Paper
Times cited : (33)

References (12)
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    • Bozkir, A.S.1    Sezer, E.2
  • 2
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    • DOI: 10.1155/2010/901095
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  • 5
    • 27744524615 scopus 로고    scopus 로고
    • Water consumption prediction of Istanbul City by using fuzzy logic approach
    • DOI 10.1007/s11269-005-7371-1
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    • Data mining on time series: An illustration using fast-food restaurant franchise data
    • DOI 10.1016/S0167-9473(01)00014-7, PII S0167947301000147
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  • 10
    • 34248545092 scopus 로고    scopus 로고
    • Data mining to improve personnel selection and enhance human capital : A case study in high-technology industry
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    • Chien, C.F.1    Chen, L.F.2
  • 11
    • 33748695973 scopus 로고    scopus 로고
    • Support vector regression with genetic algorithms in forecasting tourism demand
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    • Chen, K.-Y.1    Wang, C.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.