期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：28
期号：5
页码：222-227
DOI：10.14445/22312803/IJCTT-V28P144
出版社：Seventh Sense Research Group
摘要：In an era of knowledge explosion, the growth of data increases rapidly day by day. Since data storage is a limited resource, how to reduce the data space in the process becomes a challenge issue. Data compression provides a good solution which can lower the required space. Data mining has many useful applications in recent years because it can help users discover interesting knowledge in large databases. Existing compression algorithms are not appropriate for data mining. In this paper our main focus is on association rule mining and data preprocess with data compression. We proposed a knowledge discovery process from compressed databases in which data can be decomposed.
