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zbMATH Open
Article . 2012
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Fundamenta Informaticae
Article . 2012 . Peer-reviewed
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Fundamenta Informaticae
Article . 2012
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DBLP
Article . 2012
Data sources: DBLP
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Temporal Dynamics in Information Tables

Temporal dynamics in information tables
Authors: CIUCCI, DAVIDE ELIO;

Temporal Dynamics in Information Tables

Abstract

An information table can change over time in several different ways: objects enter/exit the system, new attributes are considered, etc. As a consequence rough set instruments also change. At first, we recall a classification of dynamic increase of information with respect to three different factors: objects, attributes, values. Then, the corresponding changes in rough sets are discussed. Results about approximations, positive region and generalized decision are given and algorithms to update reducts and rules provided.

Country
Italy
Keywords

Knowledge representation, Rough sets, reducts, dynamics, Reasoning under uncertainty in the context of artificial intelligence

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    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.
    Top 10%
    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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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!
20
Top 10%
Top 10%
Top 10%
Green
bronze