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  • V kapitole je prezentován jednoduchý příklad použití tří standardních plikačních rozhraní (API) pro dolování z dat - OLEDB for DM, SQL/MM DM a JDM pro predikci. Jde o predikci rizika úvěru zákazníkovi, u něhož známe požadovanou výši půjčky, úroveň příjmua  typ zaměstnání. příjmovou  Tyto standardy jsou zpravidla prezentovány odděleně. Zde jsou také vzájemně srovnány, aby čtenář lépe pochopil rozdílné přístupy, na nichž jsou založeny. (cs)
  • The chapter presents a simple example in which three standard application programming interfaces (APIs) for data mining - OLEDB for DM, SQL/MM DM a JDM - are used in prediction. Namely, based on a debt level, income level and employment type we want to predict the credit risk of a customer. <p>The standards are usually presented separately. The fact that the same data mining task is solved by means of three different standards can help the reader in understanding differences among the standards and in getting the picture of complexity of their use.
  • The chapter presents a simple example in which three standard application programming interfaces (APIs) for data mining - OLEDB for DM, SQL/MM DM a JDM - are used in prediction. Namely, based on a debt level, income level and employment type we want to predict the credit risk of a customer. <p>The standards are usually presented separately. The fact that the same data mining task is solved by means of three different standards can help the reader in understanding differences among the standards and in getting the picture of complexity of their use. (en)
Title
  • Using Standard APIs for Data Mining in Prediction
  • Using Standard APIs for Data Mining in Prediction (en)
  • Použití standardních API pro dolování z dat při predikci (cs)
skos:prefLabel
  • Using Standard APIs for Data Mining in Prediction
  • Using Standard APIs for Data Mining in Prediction (en)
  • Použití standardních API pro dolování z dat při predikci (cs)
skos:notation
  • RIV/00216305:26230/05:PU56429!RIV06-MSM-26230___
http://linked.open.../vavai/riv/strany
  • 1171-1174
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 262200012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 548195
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/05:PU56429
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data mining, OLEDB for DM, SQL/MM DM, JDM,&nbsp; logical data, physical data, prediction join (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1446879ACB57]
http://linked.open...i/riv/mistoVydani
  • Hershey
http://linked.open...vEdiceCisloSvazku
  • NEUVEDEN
http://linked.open...i/riv/nazevZdroje
  • Encyclopedia of Data Warehousing and Mining
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zendulka, Jaroslav
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Idea Group Publishing
https://schema.org/isbn
  • 1-59140-557-2
http://localhost/t...ganizacniJednotka
  • 26230
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