Clustering local frequency items in multiple databases

DOI10.1016/J.INS.2013.02.043zbMath1320.68131OpenAlexW2005283425MaRDI QIDQ497190

Animesh Adhikari

Publication date: 23 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.02.043

zbMATH Keywords

clusteringdata miningassociationmeasure of associationmulti-database mining

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Developing multi-database mining applications
• Knowledge discovery in multiple databases
• Optimal clustering in the context of overlapping cluster analysis
• Database classification for multi-database mining

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