A State-of-the-Art Review of Knowledge Discovery in Multiple Databases

Author:

Adhikari Animesh1,Jain Lakhmi C.2,Prasad Bhanu3

Affiliation:

1. 1Department of Computer Science, Parvatibai Chowgule College, Margao, Goa 403 602, India

2. 2School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, Australia

3. 3Department of Computer and Information Sciences, Florida A&M University, Tallahassee, FL 32307, USA

Abstract

AbstractKnowledge discovery in multiple databases offers many opportunities and challenges. We have given a number of motivating points on knowledge discovery in multiple databases. In view of further studies on this aspect, we highlight some domains that generated numerous problems on multiple related databases. Activities related to data preprocessing in a multi-database mining environment are also discussed. Important techniques of mining multiple databases are outlined. Many interesting patterns that originated out of multi-database environments are highlighted. We shall witness more research outcomes and investigations as the number of multi-database domains is on the rise.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

Reference134 articles.

1. The WoRLD knowledge discovery from multiple distributed databases in Proceedings of the Tenth International Florida AI Research FLAIRS Florida;Aronis;Symposium,1997

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