出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A lot of classification algorithms are available in the area of data mining for solving the same
kind of problem with a little guidance for recommending the most appropriate algorithm to use
which gives best results for the dataset at hand. As a way of optimizing the chances of
recommending the most appropriate classification algorithm for a dataset, this paper focuses on
the different factors considered by data miners and researchers in different studies when
selecting the classification algorithms that will yield desired knowledge for the dataset at hand.
The paper divided the factors affecting classification algorithms recommendation into business
and technical factors. The technical factors proposed are measurable and can be exploited by
recommendation software tools.
