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The algorithms for processing of imprecise temporal data

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Jan 2016Publisher:IEEEJournal:2016 19th Conference of Open Innovations Association (FRUCT)
Authors: Aleksandr V. Flegontov; Vladimir V. Fomin; Sergey V. Maltsev;

doi: 10.23919/fruct.2016.7892181

The algorithms for processing of imprecise temporal data

Abstract

In this paper we initiated the process of analyzing and addressing the problems related to storing and retrieval of inaccurate time information by means of building a new model of fuzzy temporal domain and corresponding data types, as well as methods for processing of fuzzy temporal relations between time points and/or intervals with the implementation of appropriate SQL procedures and functions.

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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!
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