Book chapter

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.
Publication language:english
Original title:Using Standard APIs for Data Mining in Prediction
Title (cs):Použití standardních API pro dolování z dat při predikci
Pages:1171-1174
Book:Encyclopedia of Data Warehousing and Mining. Volume 2.
Place:Hershey, US
Year:2005
ISBN:1-59140-557-2
Publisher:Idea Group Publishing
Keywords
data mining, OLEDB for DM, SQL/MM DM, JDM, logical data, physical data, prediction join
Annotation
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.

BibTeX:
@INBOOK{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=7819}
}

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