Predictive Analytics for Clothing Store using Artificial Neural Network
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...
| Main Author: | Mohd Jafri, Nur Farah Jazlin |
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| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.20938 / |
| Published: |
IRC
2019
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/20938/1/Nur%20Farah%20Jazlin_22993.pdf http://utpedia.utp.edu.my/20938/ |
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| Summary: |
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. |
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