Welcome to the InfoSci Platform
Integration of Data Sources through Data Mining

Integration of Data Sources through Data Mining

Andreas Koeller
Copyright: © 2008 |Pages: 6
ISBN13: 9781599049519|ISBN10: 1599049511|EISBN13: 9781599049526
DOI: 10.4018/978-1-59904-951-9.ch023
Cite Chapter Cite Chapter

MLA

Koeller, Andreas. "Integration of Data Sources through Data Mining." Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, IGI Global, 2008, pp. 350-355. https://doi.org/10.4018/978-1-59904-951-9.ch023

APA

Koeller, A. (2008). Integration of Data Sources through Data Mining. In J. Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (pp. 350-355). IGI Global. https://doi.org/10.4018/978-1-59904-951-9.ch023

Chicago

Koeller, Andreas. "Integration of Data Sources through Data Mining." In Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, 350-355. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-951-9.ch023

Export Reference

Mendeley
Favorite

Abstract

Integration of data sources refers to the task of developing a common schema as well as data transformation solutions for a number of data sources with related content. The large number and size of modern data sources make manual approaches at integration increasingly impractical. Data mining can help to partially or fully automate the data integration process.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.