Most Downloaded Article..!!!
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
Comments
Post a Comment