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Fundam. Prikl. Mat., 2016, Volume 21, Issue 4, Pages 125–132 (Mi fpm1750)  

Data compression in big graph warehouse

I. V. Polyakov, A. A. Chepovskiy, A. M. Chepovskiy

National Research University Higher School of Economics, Moscow

Abstract: In this paper, we propose an approach for compact storage of big graphs. We propose preprocessing algorithms for graphs of a certain type, which can significantly increase the data density on the disk and increase performance for basic operations with graphs.

Funding Agency Grant Number
Russian Foundation for Basic Research 16-07-00641_а
16-29-09546_офи_м


Full text: PDF file (103 kB)
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Bibliographic databases:
UDC: 004.421.2:519.178

Citation: I. V. Polyakov, A. A. Chepovskiy, A. M. Chepovskiy, “Data compression in big graph warehouse”, Fundam. Prikl. Mat., 21:4 (2016), 125–132

Citation in format AMSBIB
\Bibitem{PolCheChe16}
\by I.~V.~Polyakov, A.~A.~Chepovskiy, A.~M.~Chepovskiy
\paper Data compression in big graph warehouse
\jour Fundam. Prikl. Mat.
\yr 2016
\vol 21
\issue 4
\pages 125--132
\mathnet{http://mi.mathnet.ru/fpm1750}
\mathscinet{http://www.ams.org/mathscinet-getitem?mr=3783799}


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