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Horn axiomatizations for sequential data

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2007 English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 371, pages 247-264 (issn: 0304-3975, Copyright policy )
Authors: José L. Balcázar; Gemma C. Garriga;

doi: 10.1016/j.tcs.2006.11.009

Horn axiomatizations for sequential data

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations
Keywords

Data structures, Learning and adaptive systems in artificial intelligence, Association rules, closure operators, Theoretical Computer Science, association rules, Closure operators, sequential patterns, Propositional Horn theories, Sequential patterns, propositional Horn theories, Computer Science(all)

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
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!
9
Average
Top 10%
Average
hybrid