Big Data analysis Using Soft Computing Techniques Kapil Patidar Manoj Kumar (Asst. Pro)
tasks in overcome the curse of dimensionality problem, which forms a motivation for using a suitable
better products more efficiently. However, the algorithms that are run within the computers to optimize
Optimization clustering As one of the most popular and widely used data mining techniques, cluster analysis
attributes used increases. Commonly attributes in a given data set are correlated, noisy and redundant. In this
Diversity Maintaining Approach for Many-Objective Optimization Linqiang Pan a,c, Cheng He a, Ye Tian b
thus promote more widespread use of the digital data is increasingly dramatically. Internet provides
of diamond. The project highlights the aims, objectives, and background related to the design of the
Keywords: Data mining, association rule, fuzzy logic, neural network, particle swarm optimization, artificial
code to find out hidden errors, which may create problems, resulting in failure of application. 2.7 Path