Detail výsledku

Using Standard APIs for Data Mining in Prediction

ZENDULKA, J. Using Standard APIs for Data Mining in Prediction. In Encyclopedia of Data Warehousing and Mining. Volume 2. Hershey: Idea Group Publishing, 2005. p. 1171-1174. ISBN: 1-59140-557-2.
Typ
kapitola, resp. kapitoly v odborné knize
Jazyk
anglicky
Autoři
Zendulka Jaroslav, doc. Ing., CSc., UIFS (FIT)
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

Rok
2005
Strany
1171–1174
Kniha
Encyclopedia of Data Warehousing and Mining. Volume 2.
ISBN
1-59140-557-2
Vydavatel
Idea Group Publishing
Místo
Hershey
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"
}
Výzkumné skupiny
Výzkumná skupina informačních a databázových systémů (VZ IS)
Pracoviště
Ústav informačních systémů (UIFS)
Nahoru