Result Details

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.
Type
chapter in a book
Language
English
Authors
Zendulka Jaroslav, doc. Ing., CSc., DIFS (FIT)
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.

Keywords

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

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
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"
}
Research groups
Information and Database Systems Research Group (RG IS)
Departments
Department of Information Systems (DIFS)
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