Investigative Analysis on Data Mining Techniques
Author(s):
Kartik Jaitly , Department of computer Science and Engineering Thapar Institute of Engineering and Technology (Deemed to be University), Patiala; Harkiran Kaur, Department of computer Science and Engineering Thapar Institute of Engineering and Technology (Deemed to be University), PatialaKeywords:
Data Mining, Clustering, K-Means, Mining Algorithm, Neural NetworkAbstract:
Data Mining is the process of computing patterns in large databases. It is an essential process and requires intelligent processes to extract information. The process of data mining is generally semi-automatic or fully automatic. Data mining is widely used for business and research purposes. The purpose of data mining is to discover unknown new information from hefty volume of data. The various mining techniques are neural network, decision trees and logistic regression. The intent is to cover the concept of data mining to corroborate the potential of gathering large sets of data, and analyzing these data to gain useful information.
Other Details:
| Manuscript Id | : | J4RV3I10002 |
| Published in | : | Volume : 3, Issue : 10 |
| Publication Date | : | 01/01/2018 |
| Page(s) | : | 32-34 |
