Segmenting with big data analytics and Python : a quantitative exploratory analysis of household savings
Year of publication: |
2023
|
---|---|
Authors: | Cuomo, Maria Teresa ; Tortora, Debora ; Colosimo, Ivan ; Ricciardi Celsi, Lorenzo ; Genovino, Cinzia ; Festa, Giuseppe ; Rocca, Michele la |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 191.2023, p. 1-10
|
Subject: | Big data analytics | Household savings | Methodological research | Python | Saver profiling | Segmentation | Sparen | Savings | Big Data | Big data | Data Mining | Data mining | Theorie | Theory |
-
Xie, Tian, (2017)
-
Comparative analysis of methods for prediction continuous numerical features on big datasets
Kinshakov, Eduard, (2021)
-
Investigating the predictive ability of ONS big data-based indicators
Kapetanios, George, (2022)
- More ...
-
Enchancing traveller in integrated mobility services via big social data analytics
Cuomo, Maria Teresa, (2022)
-
Climate change, environmental auditing, and corporate/brand strategy
Cuomo, Maria Teresa, (2021)
-
Corporate brand identity : virtual space
Cuomo, Maria Teresa, (2022)
- More ...