Estimating city-level poverty rate based on e-commerce data with machine learning
Dedy Rahman Wijaya, Ni Luh Putu Satyaning Pradnya Paramita, Ana Uluwiyah, Muhammad Rheza, Annisa Zahara, Dwi Rani Puspita
Year of publication: |
2022
|
---|---|
Authors: | Wijaya, Dedy Rahman ; Paramita, Ni Luh Putu Satyaning Pradnya ; Uluwiyah, Ana ; Rheza, Muhammad ; Zahara, Annisa ; Puspita, Dwi Rani |
Subject: | Big data | E-commerce | Machine learning | Poverty rate estimation | Künstliche Intelligenz | Artificial intelligence | Armut | Poverty | Electronic Commerce | Big Data | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Schätzung | Estimation | Online-Handel | Online retailing | Data Mining | Data mining |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Büttner, Ricardo, (2017)
-
Multi-variant User Interfaces in E-commerce : A Practical Approach to UI Personalization
Wasilewski, Adam, (2024)
-
Point and risk estimation using an enSemble of models for nowcasting : PRISM-Now
Seo, Beomseok, (2023)
- More ...