A Review on Data mining Techniques

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