英语翻译With the exception of the data–mining algorithm,in the current state of the practice therest of the knowledge discovery process is manual.Indeed,the algorithmic phase is such asmall part of the process because decades of research have focused on automating it—oncreating effective,efficient data–mining algorithms.However,when it comes to improvingthe efficiency of the knowledge discovery process as a whole,additional research on efficientmining algori

问题描述:

英语翻译
With the exception of the data–mining algorithm,in the current state of the practice the
rest of the knowledge discovery process is manual.Indeed,the algorithmic phase is such a
small part of the process because decades of research have focused on automating it—on
creating effective,efficient data–mining algorithms.However,when it comes to improving
the efficiency of the knowledge discovery process as a whole,additional research on efficient
mining algorithms will have diminishing returns if the rest of the process remains difficult
and manual.Adomavicius and Tuzhilin contribute to research on “the rest of the process,”
dealing with the often–mentioned but seldom–addressed problem of filtering the resultant
discoveries.