文章基本信息

标题：A Novel Data Mining Platform Design with Dynamic Algorithm Base
本地全文：下载
作者：Hebiao Yang ; Yukun Chen ; Rengang Hou 等
期刊名称：Computer and Information Science
印刷版ISSN：1913-8989
电子版ISSN：1913-8997
出版年度：2009
卷号：2
期号：2
页码：98
DOI：10.5539/cis.v2n2P98
出版社：Canadian Center of Science and Education
摘要：With the application domain of data mining technologies extends increasingly, some shortages of the commonly used commercial data mining tools, such as poor maintainability, less expansibility and high cost, are gradually exposed in practice. As such, these tools cannot flexibly and effectively meet the apt-to-change demands of users. This paper proposes a plugin style method for dynamic algorithm base design, discusses issues related to the joint between data set and mining algorithms and implements the platform prototype, providing a frame reference for constructing a wieldy, usable, extensible and low cost data mining platform.