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.
It may be difficult, often, finding the cycle intersection of two
curves in the projective plane. Therefore, in our paper, we have
mentioned a new mechanism to find it which was represented by
S.N algorithm that works on writing this intersection
as sum of
simple cycle intersections which is easy to find. On the other
hand, by this algorithm we mentioned a new and simplified proof
of the known Bezout’s theorem.
