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Current Research Inclination in Data Mining

Author(s):

Asha Rani M , GSSSIETW; Kavana M D, GSSSIETW

Keywords:

Data, Mining, Knowledge, Database, Cluster, Regression, Technique

Abstract

Data mining is the process of extracting important and useful information from large sets of data. The goal of the data mining process is to extract knowledge from an existing data set and transform it into a unique human understandable format for some advance use. Through data mining, we can able to effectively extract data in the form of knowledge discovery which provides useful helping guide for information processing that can be utilized in varieties of applications. It is the most seeking field in recent framework and its importance cannot be ignored at all as effective data analysis outputs to extensive information utilization in almost all the fields and a proper data mining provides the appropriate and effective result. Different types of data mining techniques are augmented for powerful data mining applications that can ranges from Super market data to science, research, medical, media, web, entertainment and a lot of other fields which are implemented through data warehouses and Online Analytical Processing along with different data mining models. In this paper we have focused on data mining works with respect to current research approaches in variety of fields.

Other Details

Paper ID: IJSRDV4I90167
Published in: Volume : 4, Issue : 9
Publication Date: 01/12/2016
Page(s): 221-224

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