Title :
An overview of data mining in heterogeneous schema integration
Author :
Dao, Son ; Perry, Brad
Author_Institution :
Inf. Sci. Lab., Hughes Res. Labs., Malibu, CA, USA
Abstract :
Integration of heterogeneous database schemas requires an understanding of the explicit and implicit relationships between the multi-database schema elements. As the size, complexity, and decentralization of information networks continues to grow, it is of paramount importance to develop methods to reliably discover (or approximate) these relationships automatically. We have developed a novel application of data mining, specifically attribute oriented induction, and show how it can be exploited to discover, based on content correlation, multi-database attribute relationships
Keywords :
deductive databases; distributed databases; inference mechanisms; information networks; knowledge acquisition; attribute oriented induction; content correlation; data mining; database schema; heterogeneous schema integration; inference; information network size; multidatabase attribute relationships; multidatabase schema; Catalogs; Data mining; Database systems; Humans; IP networks; Independent component analysis; Information systems; Marine vehicles; Navigation; Research and development;
Conference_Titel :
WESCON/96
Conference_Location :
Anaheim, CA
Print_ISBN :
0-7803-3274-1
DOI :
10.1109/WESCON.1996.554551
