• Home
  • About
  • Policies
  • Contact
    • Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
Advanced Search
View Item 
  •   Home
  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği / Computer Engineering
  • Makaleler / Articles
  • View Item
  •   Home
  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği / Computer Engineering
  • Makaleler / Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting

Thumbnail
View/Open
Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting.pdf (883.3Kb)
Author
Akbulut, Akhan
Type
Article
xmlui.dri2xhtml.METS-1.0.item-citation
Date
2019-01
Language
en_US
Metadata
Show full item record
Abstract
— Predicting the sales amount as close as to the actual sales amount can provide many benefits to companies. Since the fashion industry is not easily predictable, it is not straightforward to make an accurate prediction of sales. In this study, we applied not only regression methods in machine learning but also time series analysis techniques to forecast the sales amount based on several features. We applied our models on Walmart sales data in Microsoft Azure Machine Learning Studio platform. The following regression techniques were applied: Linear Regression, Bayesian Regression, Neural Network Regression, Decision Forest Regression and Boosted Decision Tree Regression. In addition to these regression techniques, the following time series analysis methods were implemented: Seasonal ARIMA, Non-Seasonal ARIMA, Seasonal ETS, Non -Seasonal ETS, Naive Method, Average Method, and Drift Method. It was shown that Boosted Decision Tree Regression provides the best performance on this sales data. This project is a part of the development of a new decision support system for the retail industry.
Subject
Makine Öğrenme
Gerileme
Satış Tahmini
Zaman Serileri Analizi
Machine Learning
Regression
Sales Forecasting
Time Series Analysis
URI
https://hdl.handle.net/11413/4844
Collections
  • Makaleler / Articles [100]

İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS

İKU Kütüphane


Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageBy PublisherRightsPubmedScopusWoSThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageBy PublisherRightsPubmedScopusWoS

My Account

Login

İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS