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A Knowledge discovery Approach in Shopping Complex Database ( ASCD )

Data mining and Knowledge Discovery (KD) has been widely accepted as a key technology for enterprises to improve their abilities in data analysis, decision support and the automatic extraction of knowledge from data. Existing method has framed the process of information extraction and also referred to as the knowledge discovery process as a series of strategic search decisions, subject to constraints with the objective of attaining a sufficient level of domain specific knowledge for use in enterprise planning. Prediction in financial domains is absolutely difficult for a number of reasons. Existing theories tend to be weak or non-existent, which makes problem formulation open, ended by forcing us to consider a large number of independent variables and thereby increasing the dimensionality of the search space. In this paper we are providing an effective association rule mining for developing the super market industries. We hope this would be the great help to them.