Detail publikačního výsledku

Using Standard APIs for Data Mining in Prediction

ZENDULKA, J.

Originální název

Using Standard APIs for Data Mining in Prediction

Anglický název

Using Standard APIs for Data Mining in Prediction

Druh

Kapitola, resp. kapitoly v odborné knize

Originální abstrakt

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.

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.

Anglický abstrakt

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.

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.

Klíčová slova

data mining, OLEDB for DM, SQL/MM DM, JDM, logical data, physical data, prediction join

Klíčová slova v angličtině

data mining, OLEDB for DM, SQL/MM DM, JDM, logical data, physical data, prediction join

Autoři

ZENDULKA, J.

Vydáno

08.07.2005

Nakladatel

Idea Group Publishing

Místo

Hershey

ISBN

1-59140-557-2

Kniha

Encyclopedia of Data Warehousing and Mining. Volume 2.

Strany od

1171

Strany do

1174

Strany počet

4

BibTex

@inbook{BUT55599,
  author="Jaroslav {Zendulka}",
  title="Using Standard APIs for Data Mining in Prediction",
  booktitle="Encyclopedia of Data Warehousing and Mining. Volume 2.",
  year="2005",
  publisher="Idea Group Publishing",
  address="Hershey",
  pages="1171--1174",
  isbn="1-59140-557-2"
}