Data Compression in Big Graph Warehouse

被引：0
|
作者：
Polyakov I.V. [1 ]
Chepovskiy A.A. [1 ]
Chepovskiy A.M. [1 ]
机构：
[1] National Research University “The Higher School of Economics”, Moscow
来源：
Journal of Mathematical Sciences | 2020年 / 245卷 / 2期
关键词：
D O I：
10.1007/s10958-020-04686-4
中图分类号：
学科分类号：
摘要：
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. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.
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页码：197 / 201
页数：4
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