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Mining Views: Database Views for Data Mining

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Apr 2008 Netherlands, Belgium Publisher:IEEEJournal:2008 IEEE 24th International Conference on Data Engineering
Authors: Blockeel, Hendrik; Calders, Toon; Fromont, Elisa; Goethals, Bart; Prado, Adriana;

doi: 10.1109/icde.2008.4497633

handle: 10067/661410151162165141 , 10067/821040151162165141

Mining Views: Database Views for Data Mining

Abstract

We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision trees, can be represented and queried using a unifying framework.

Countries
Netherlands, Belgium
Related Organizations
Keywords

Computer. Automation, Technology, Science & Technology, Computer Science, Information Systems, Computer Science, Theory & Methods, Computer Science

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
Related to Research communities
Netherlands Research Portal