The compression of massive offline relations

Jizhou Luo; Jianzhong Li; Hongzhi Wang; Yanqiu Zhang; Kai Zhao

doi:10.1007/978-3-540-27772-9_65

The compression of massive offline relations

Jizhou Luo^*
, Jianzhong Li
, Hongzhi Wang
, Yanqiu Zhang
, Kai Zhao

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Compression database techniques play an important role in the management of massive data in database. Based on an important feature of offline relations and the features of operations on these data, we propose a compression method of massive offline relations to improve the processing performance of these relations. Experiments show that our method is efficient.

Original language	English
Pages (from-to)	634-639
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	3129
DOIs	https://doi.org/10.1007/978-3-540-27772-9_65
State	Published - 2004

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10.1007/978-3-540-27772-9_65

Cite this

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title = "The compression of massive offline relations",

abstract = "Compression database techniques play an important role in the management of massive data in database. Based on an important feature of offline relations and the features of operations on these data, we propose a compression method of massive offline relations to improve the processing performance of these relations. Experiments show that our method is efficient.",

author = "Jizhou Luo and Jianzhong Li and Hongzhi Wang and Yanqiu Zhang and Kai Zhao",

year = "2004",

doi = "10.1007/978-3-540-27772-9\_65",

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T1 - The compression of massive offline relations

AU - Luo, Jizhou

AU - Li, Jianzhong

AU - Wang, Hongzhi

AU - Zhang, Yanqiu

AU - Zhao, Kai

PY - 2004

Y1 - 2004

N2 - Compression database techniques play an important role in the management of massive data in database. Based on an important feature of offline relations and the features of operations on these data, we propose a compression method of massive offline relations to improve the processing performance of these relations. Experiments show that our method is efficient.

AB - Compression database techniques play an important role in the management of massive data in database. Based on an important feature of offline relations and the features of operations on these data, we propose a compression method of massive offline relations to improve the processing performance of these relations. Experiments show that our method is efficient.

UR - https://www.scopus.com/pages/publications/35048818040

U2 - 10.1007/978-3-540-27772-9_65

DO - 10.1007/978-3-540-27772-9_65

M3 - 文章

AN - SCOPUS:35048818040

SN - 0302-9743

VL - 3129

SP - 634

EP - 639

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

ER -

The compression of massive offline relations

Abstract

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