In real world, organizations often have large amount of data that are stored in databases.
The large size of data makes data analysis difficult as data are more complex in terms of
number of attributes and number of objects. The use of a sufficient number of attributes and
objects are one way to overcome the problem. There are many techniques that can be used
to minimize the number of attributes in data mining. In this paper, three reduction techniques
namely Genetic Algorithm (GA), Principal Component Analysis (PCA), and Johnson have
مصطفى علي ابوزريدة | Mustafa Ali Abuzaraida | 10639