Publication Details

Using Standard APIs for Data Mining in Prediction

ZENDULKA Jaroslav. Using Standard APIs for Data Mining in Prediction. Encyclopedia of Data Warehousing and Mining. Volume 2.. Hershey: Idea Group Publishing, 2005, pp. 1171-1174. ISBN 1-59140-557-2.
Czech title
Použití standardních API pro dolování z dat při predikci
Type
book chapter
Language
english
Authors
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT)
Keywords

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

Abstract

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.

Published
2005
Pages
1171-1174
Book
Encyclopedia of Data Warehousing and Mining. Volume 2.
ISBN
1-59140-557-2
Publisher
Idea Group Publishing
Place
Hershey, US
BibTeX 
@INBOOK{FITPUB7819,
   author = "Jaroslav Zendulka",
   title = "Using Standard APIs for Data Mining in Prediction",
   pages = "1171--1174",
   booktitle = "Encyclopedia of Data Warehousing and Mining. Volume 2.",
   year = 2005,
   location = "Hershey, US",
   publisher = "Idea Group Publishing",
   ISBN = "1-59140-557-2",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/7819"
}
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