文章基本信息

标题：Iceberg-cubes with Entropy Query for Data Compression Processing
本地全文：下载
作者：Haiyong Luo
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：3
页码：282-290
DOI：10.14257/ijhit.2016.9.3.26
出版社：SERSC
摘要：As the increasing usage of data generating devices like cameras, mobile phones, Auto- ID technologies, and so on, huge amount of data are created. Data compression is very important. In order to use the suitable compression methods on reducing the data volume, this paper uses iceberg-cubes to compress the data based on the entropy query mechanism. Using the definition of iceberg-cubes, this paper uses the entropy query principle for getting the key value from the original datasets. The iceberg-cubes are then used for generating the compressed data which should be stored in the hardware devices. It is observed that these proposed algorithms could achieve 32.46% compression ratio averagely.
关键词：Data-cube; Entropy Query; Algorithm; Iceberg-cubes