A REVIEW ON PREDICTIVE ANALYTICS IN DATA
MINING
Kavya.V1
, Arumugam.S2
1M.E.Scholar, Department of Computer Science & Engineering, Nandha Engineering
College, Erode-638052, Tamil Nadu, India
2
Professor, Department of Computer Science & Engineering, Nandha Engineering
College, Erode-638052, Tamil Nadu, India
ABSTRACT
The data mining its main process is to collect, extract and store the valuable information and now-a-days it’s
done by many enterprises actively. In advanced analytics, Predictive analytics is the one of the branch which is
mainly used to make predictions about future events which are unknown. Predictive analytics which uses
various techniques from machine learning, statistics, data mining, modeling, and artificial intelligence for
analyzing the current data and to make predictions about future. The two main objectives of predictive
analytics are Regression and Classification. It is composed of various analytical and statistical techniques used
for developing models which predicts the future occurrence, probabilities or events. Predictive analytics deals
with both continuous changes and discontinuous changes. It provides a predictive score for each individual
(healthcare patient, product SKU, customer, component, machine, or other organizational unit, etc.) to
determine, or influence the organizational processes which pertain across huge numbers of individuals, like in
fraud detection, manufacturing, credit risk assessment, marketing, and government operations including law
enforcement.
KEYWORDS
Predictive analytics, Credit history, forecasting, Regression techniques
Original Source URL : http://airccse.org/journal/ijccms/papers/5316ijccms01.pdf
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