Numerical analysis naturally finds applications in all fields of engineering and the physical sciences, bu t in the 21st century, the life sciences and even the arts h ave adopted elements of scientific computations. The numerical d ta analysis became key process in research and development of a ll the fields [6]. In this paper we have made an attempt to analyze th e specified numerical patterns with reference to the associatio n rule mining techniques with minimum confidence and minimum supp ort mining criteria. The extracted rules and analyzed results are graphically demonstrated. Association rules are a simple but ve ry useful form of data mining that describe the probabilistic co-occu rrence of certain events within a database [7]. They were originally designed to analyze market-basket data, in which the likelihood of items being purchased together within the same transactions are analyzed. Keywords—Numerical data analysis, Data Mining, Association Rule Mining
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