Technical Analysis of the Learning Algorithms in Data Mining Context

In this paper, the various learning algorithms that used in the knowledge discovery process as data mining techniques, have been discussed, e.g. visualization techniques, query tools, OLAP tools, K-nearest neighbor, decision trees, association rules, neural networks, genetic algorithms, fuzzy sets. Then a comparison between some of them have been done in two dimension to represent the advantage and disadvantage of this learning algorithms depending on number of qualities as a first dimension (quality of input, output, and performance) and some of the learning algorithms as a second dimension