Predictive analytics for fast moving item using nonlinear regresssion models /

Bibliographic Details
Main Author: Nur Arisha Mohd. Azhar, 1995-, author 634160
Format: text
Language:eng
Published: Johor Bahru, Johor : Universiti Teknologi Malaysia, 2021
Subjects:
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author Nur Arisha Mohd. Azhar, 1995-, author 634160
author_facet Nur Arisha Mohd. Azhar, 1995-, author 634160
author_sort Nur Arisha Mohd. Azhar, 1995-, author 634160
collection OCEAN
description
first_indexed 2024-03-05T16:40:35Z
format text
id KOHA-OAI-TEST:591653
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T16:40:35Z
publishDate 2021
publisher Johor Bahru, Johor : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:5916532024-02-15T04:55:01ZPredictive analytics for fast moving item using nonlinear regresssion models / Nur Arisha Mohd. Azhar, 1995-, author 634160 textJohor Bahru, Johor : Universiti Teknologi Malaysia,2021engBibliography: p. 67-69.Fakulti Kejuruteraan - Sekolah Komputeraan;Nonlinear theoriesSales forecasting
spellingShingle Nonlinear theories
Sales forecasting
Nur Arisha Mohd. Azhar, 1995-, author 634160
Predictive analytics for fast moving item using nonlinear regresssion models /
title Predictive analytics for fast moving item using nonlinear regresssion models /
title_full Predictive analytics for fast moving item using nonlinear regresssion models /
title_fullStr Predictive analytics for fast moving item using nonlinear regresssion models /
title_full_unstemmed Predictive analytics for fast moving item using nonlinear regresssion models /
title_short Predictive analytics for fast moving item using nonlinear regresssion models /
title_sort predictive analytics for fast moving item using nonlinear regresssion models
topic Nonlinear theories
Sales forecasting
work_keys_str_mv AT nurarishamohdazhar1995author634160 predictiveanalyticsforfastmovingitemusingnonlinearregresssionmodels