Clustering local frequency items in multiple databases-Reference-Cited by-同舟云学术

Clustering local frequency items in multiple databases

Published:2013-07 Issue: Volume:237 Page:221-241
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Adhikari Animesh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. Synthesizing global exceptional patterns in different data sources;Adhikari;Journal of Intelligent Systems,2012

2. Study of select items in different data sources by grouping;Adhikari;Knowledge and Information Systems,2011

3. Developing Multi-Database Mining Applications;Adhikari,2010

4. Mining multiple large data sources;Adhikari;International Arab Journal of Information Technology,2010

5. Capturing association among items in a database;Adhikari;Data & Knowledge Engineering,2008

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3. Clustering Local Frequency Items in Multiple Data Sources;Advances in Knowledge Discovery in Databases;2014-12-28

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