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https://dx.doi.org/10.48550/ar...
Article . 2026
License: CC BY
Data sources: Datacite
DBLP
Article . 2006
Data sources: DBLP
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Deterministic method of data sequence processing

Authors: Widera, Michał;

Deterministic method of data sequence processing

Abstract

A data management system can be separated in typical data processing systems. Unfortunately, relational data management systems are not efficient enough to handle the on-line signal processing task in a monitoring system. The main current in research into database management system model for the needs of monitoring systems is connected with a data stream model. However, these systems are non-deterministic. This paper presents the developed methods of data stream processing for signal processing tasks in medical database management systems, as well as the developed theorems of data sequences (stream) algebra with formal proofs. A direct link between some introduced operators and Beatty and Fraenkel theorems has been proved

18 pages, 1 figure. Author-initiated deposit of the version published in Annales UMCS Sectio AI Informatica, Vol. 4 (2006), pp. 314-331, under a CC BY 4.0 license. Establishes the stream algebra and the Beatty/Fraenkel foundations later developed in arXiv:2607.07730

Country
Poland
Related Organizations
Keywords

FOS: Computer and information sciences, Databases, Discrete Mathematics (cs.DM), Discrete Mathematics, H.2.4; H.2.3; G.2.1; J.3, Databases (cs.DB), 68P15 (Primary), 11B83, 94A12 (Secondary)

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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!
0
Average
Average
Average