data.mining.opportunities.and.challenges

所属分类:Windows编程
开发工具:Others
文件大小:4167KB
下载次数:7
上传日期:2008-01-08 21:58:39
上 传 者peachleaf
说明:  Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM uses sophisticated statistical analysis and modeling techniques to uncover patterns and relationships hidden in organizational DBs. Over the last 40 years, the tools and techniques to process structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even more value out of these huge repositories of information.
(Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM usessophisticated statistical analysis and modeling techniques to uncover patterns and relationshipshidden in organizational DBs. Over the last 40 years , the tools and techniques toprocess structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even morevalue out of these huge repositories of information.)

文件列表:
data.mining.opportunities.and.challenges.pdf (4781548, 2005-11-24)

近期下载者

相关文件


收藏者