The use of traditional methods to analyze massive amounts of
data sets is not conducive to the discovery of new knowledge
patterns supports the decision-making process So the purpose
of this article is designed visual analysis system that supports
analysis of data sets through the use of automated analysis,
which includes many of the techniques such as assembly
process (clustering) and Altnsnev (classification) and the
correlation base (association Rule) And the process of visual
data exploration techniques Manifesting, and then the
comparison with other data sets manifestation techniques and
evaluation of the proposed Manifesting system.
In this research work, we studied the most important methods
used for solving fitting problem. Then the method were applied
to some numerical examples. Experimental resuls on some
numerical examples revealed the superiority of some numerical
methods in comparison with others.
تأثير تقنية الطبعة النهائية للنتوء السنخي المتبقي المسطح على ثبات التعويض السني الكامل المتحرك ( دراسة سريرية )
