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  • The paper describes use of Data Mining for resource allocation, concrete for predicting number of therapy procedures in the spa. It deals with data exploration, data pre-processing, and prediction methods. Several different prediction methods were tested, from simple regression to advanced methods like Instance-Based Reasoning. Results of experiments are compared and discussed.
  • The paper describes use of Data Mining for resource allocation, concrete for predicting number of therapy procedures in the spa. It deals with data exploration, data pre-processing, and prediction methods. Several different prediction methods were tested, from simple regression to advanced methods like Instance-Based Reasoning. Results of experiments are compared and discussed. (en)
Title
  • Data Mining for Resource Allocation: A Case Study
  • Data Mining for Resource Allocation: A Case Study (en)
skos:prefLabel
  • Data Mining for Resource Allocation: A Case Study
  • Data Mining for Resource Allocation: A Case Study (en)
skos:notation
  • RIV/68407700:21230/02:03073660!RIV/2004/MSM/212304/N
http://linked.open.../vavai/riv/strany
  • 94 ; 105
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  • P(LN00B096), Z(MSM 212300013)
http://linked.open...vai/riv/dodaniDat
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  • 642213
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  • RIV/68407700:21230/02:03073660
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  • Not available (en)
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  • [0C5A01595319]
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  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
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  • Intelligent Methods for Quality Improvement in Industrial Practice
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  • Štěpánková, Olga
  • Nováková, Lenka
  • Aubrecht, Petr
  • Klema, Jiří
  • Mikšovský, Petr
  • Palouš, Jiří
  • Lauryn, Štěpán
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • České vysoké učení technické v Praze. Fakulta elektrotechnická. Katedra kybernetiky. Gerstnerova laboratoř
http://localhost/t...ganizacniJednotka
  • 21230
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