AN EMPIRICAL ANALYSIS ON DATA MINING SYSTEM AND ITS TECHNIQUES
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.9, No. 7)Publication Date: 2020-07-30
Authors : Malla Reddy Jogannagari Benarji Tharini; Haritha Chikoti;
Page : 30-36
Keywords : Data warehouse; Data Mining; Description Analysis; Prediction Analysis; Opportunities; Challenges.;
Abstract
Data mining is an extraction of knowledge discovery from huge amount of data which is previously unknown and potentially useful for analytical processing and decision making. The other acronyms of data mining are such as Data archeology, Data dredging, Information harvesting and Business Intelligence. The various data mining techniques are used to find the hidden interestingness or new patter to store the data. These techniques and approaches of data mining can efficiently build the new environment for analyzing and predictions. This paper highlights data mining process and its various techniques to find the interestingness. Finally, concluded with its limitations. The objective of the paper is opens new horizons for researchers of forthcoming generations.
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Last modified: 2020-08-30 06:34:24