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A contribution of number theory and data compression to mathematical modeling

descriptionPublicationkeyboard_double_arrow_right Article 23 Dec 2002Publisher:IEEEJournal:Proceedings of SOUTHEASTCON '96
Authors: D.C. Newton;

doi: 10.1109/secon.1996.510076

A contribution of number theory and data compression to mathematical modeling

Abstract

A new number-theoretic approach describing the transformation of a set of data into a finite binary string is given. By applying a lossless data compression method to this string and viewing it as a restricted partition, the data can be plotted as a point on a number line, a plane, or in a 3- or 4-dimensional space for the purpose of storage and retrieval, analysis, and decision-making.

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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!
1
Average
Top 10%
Average
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