Comprehensive data warehouse exploration with qualified association-rule mining

Nenad Jukić; Svetlozar Nestorov

doi:10.1016/j.dss.2005.07.009

Comprehensive data warehouse exploration with qualified association-rule mining

Nenad Jukić
, Svetlozar Nestorov

Loyola University of Chicago
Department of Computer Science, The University of Chicago

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	859-878
Number of pages	20
Journal	Decision Support Systems
Volume	42
Issue number	2
DOIs	https://doi.org/10.1016/j.dss.2005.07.009
State	Published - Nov 2006
Externally published	Yes

ASJC Scopus Subject Areas

Management Information Systems
Information Systems
Developmental and Educational Psychology
Arts and Humanities (miscellaneous)
Information Systems and Management

Keywords

Association rules
Data mining
Data warehouse
Database systems
Dimensional model
Knowledge discovery

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10.1016/j.dss.2005.07.009

Cite this

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KW - Data mining

KW - Data warehouse

KW - Database systems

KW - Dimensional model

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JO - Decision Support Systems

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Comprehensive data warehouse exploration with qualified association-rule mining

ASJC Scopus Subject Areas

Keywords

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