Architectural View For Improving Performance of Data Mining And OLAP

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Category: 
Technology
Author: 
Prakash M. Kene - Asst. Professor, Modern College of Engineering, Pune
Abstract: 

Online Analytical Processing (OLAP) is a powerful data analysis technique. OLAP is a computer-based technique for analyzing business data in the search for business intelligence. Data mining is the analysis step of the Knowledge Discovery in Databases (KDD) process which is use to attempts the discover patterns in large data sets. The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown interesting patterns. Data mining process is to extract information from a data set and transform it into an understandable structure for further use. . In this paper, we propose a new construction architectural view model for improving performance of data mining and OLAP.

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