A Review on Data mining Techniques

Authors

  • Jimesh Rana Asst.Proff, Computer Science & Engineering Department DJMIT,Mogar,Anand Gujarat Technological University
  • Anu Thomas Asst.Proff, Computer Science & Engineering Department DJMIT,Mogar,Anand Gujarat Technological University

Keywords:

Data Mining, classification, clustering, association rules

Abstract

Presently, a very large amount of data stored in
databases is increasing at a tremendous speed. This requires
a need for new techniques and tools to aid humans in
automatically and intelligently analyzing large data sets to
acquire useful information. This growing need gives a view
for a new research field called Knowledge Discovery in
Databases (KDD) or Data Mining, which attract a attention
from researchers in many different fields including database
design, statistics, pattern recognition, machine learning, and
data visualization. Data mining is the process of discovering
insightful, interesting, and novel patterns, as well as
descriptive, understandable and predictive models from
large-scale data. In this paper we overviewed different tasks
includes in Data mining. Data mining involves the tasks like
anomaly detection, classification, regression, association
rule learning, summarization and clustering

Published

2022-04-27

How to Cite

Jimesh Rana, & Anu Thomas. (2022). A Review on Data mining Techniques. International Journal of Advance Engineering and Research Development (IJAERD), 2(13), -. Retrieved from http://ijaerd.com/index.php/IJAERD/article/view/5692