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A Brief Overview on Data Mining Survey


Adarsh Goyal , Thakur Polytechnic; Anjali Jaiswal, Thakur Polytechnic; Nawaz Kapadia, Thakur Polytechnic; Varun Gadani, Thakur Polytechnic; Atharva Dalvi, Thakur Polytechnic


Data mining; Association rules; Clustering; k-means; Decision tree


This paper provides an introduction to the fundamental concept of information mining. which provides overview of information mining is employed to extract meaningful information and to develop significant relationships among variables stored in large data set/data warehouse. within the case study reported during this paper, an information mining approach is applied to extract knowledge from an information set. data processing is that the process of discovering potentially useful, interesting, and previously unknown patterns from an oversized collection of information. Data mining could be a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics, pattern recognition, information retrieval, neural networks, knowledge-based systems, AI, high-performance computing, and data visualization. We present techniques for the invention of patterns hidden in large data sets, that specialize in issues with reference to their feasibility, usefulness, effectiveness, and scalability. The automated, prospective analyses offered by data processing move beyond the analyses of past events provided by retrospective tools typical of decision support systems.

Other Details

Paper ID: IJSRDV7I110444
Published in: Volume : 7, Issue : 11
Publication Date: 01/02/2020
Page(s): 603-608

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