Predictive Analytics for Clothing Store using Artificial Neural Network

Mohd Jafri, Nur Farah Jazlin (2019) Predictive Analytics for Clothing Store using Artificial Neural Network. [Final Year Project] (Submitted)

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Abstract

Predictive analysis is a sophisticated data engineering part that usually predicts some
data-based event or probability. Predictive analytics utilizes data-mining methods to
predict and create suggestions depending on these projections about potential
occurrences. The method includes analysing historical information and predicting
potential events or events depending on that assessment. Using predictive analytics
modelling methods, a design can be developed to estimate. Depending on the data they
use, the form of these predictive models varies. The two primary goals of predictive
analytics are classification & regression. Predictive Analytics consists of different
statistical & analytical methods that are used to create designs that forecast potential
event, occurrences or probabilities. Not only can predictive analytics cope with ongoing
modifications, but also with discontinuous modifications. Classification, prediction, and
to some extent, affinity analysis constitutes the analytical methods employed in
predictive analytics.

Item Type: Final Year Project
Subjects: Q Science > Q Science (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 10 Sep 2021 08:58
Last Modified: 10 Sep 2021 08:58
URI: http://utpedia.utp.edu.my/id/eprint/20938

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