DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-13883

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-5,Issue-10  ( Oct, 2018 )
Paper Title
An Overview of Predictive Analytic Modeling Techniques and Methodologies
Author Name
Razeef Mohd, Muheet Ahmed Butt, Majid Zaman
Affilition
Department of Computer Science, University of Kashmir, Jammu and Kashmir, India Department of Computer Science, University of Kashmir, Jammu and Kashmir, India Directorate of IT&SS, University of Kashmir, Jammu and Kashmir, India
Pages
74-79
Abstract
Predictive analytics is the area of data mining concerned with the prediction of future probabilities and trends. It brings together management, information technology and modeling that indicates a focus on making predictions. In today’s data hungry world, it provides a key to success by making predictions and deals with forecasting by employing techniques that have been used for decades. Predictive analytics is data science, a multidisciplinary skill set essential for success in business, non-profit organization and government. Predictive analytics, like much of statistics, involves searching for meaningful relationships among variables and representing those relationships in models. In this work, we will discuss predictive analytics and modeling with a brief overview of literature review. Index Terms - Data Mining, Predictive Analytics, Predictive Modeling, CRISP-DM, Supervised learning.
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