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International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)

ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print]
http://airccse.org/journal/ijccms/index.html


Authors are invited to submit papers through the submission system.

Submission System link:
https://coneco2009.com/submissions/imagination/home.html

Paper Title
==========
AREVIEW ON PREDICTIVEANALYTICS IN DATA MINING

Authors
=======
Kavya.V, Arumugam.S

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  usesvarious 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  predictiveanalytics 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.)  todetermine, 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

Volume link:
http://airccse.org/journal/ijccms/current2016.html

Orginal source URL:
http://airccse.org/journal/ijccms/papers/5316ijccms01.pdf


 

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