A model-based embedding technique for segmenting customers
Year of publication: |
September-October 2018
|
---|---|
Authors: | Jagabathula, Srikanth ; Subramanian, Lakshminarayanan ; Venkataraman, Ashwin |
Published in: |
Operations research. - Catonsville, MD : INFORMS, ISSN 0030-364X, ZDB-ID 123389-0. - Vol. 66.2018, 5, p. 1247-1267
|
Subject: | clustering | embedding | sparsity | big data | categorical preferences | Data Mining | Data mining | Big Data | Big data | Beziehungsmarketing | Relationship marketing | Marktsegmentierung | Market segmentation |
-
The theory-practice research gains from big data : evidence from hospitality loyalty programs
Rita, Paulo, (2023)
-
A method for identifying customer orientations and requirements for product-service systems design
Shimomura, Yoshiki, (2018)
-
Data mining applications in SMEs : an Italian perspective
Topalović, Amir, (2020)
- More ...
-
A conditional gradient approach for nonparametric estimation of mixing distributions
Jagabathula, Srikanth, (2020)
-
Frontiers in operations: news event-driven forecasting of commodity prices
Chakraborty, Sunandan, (2024)
-
A Model-Based Embedding Technique for Segmenting Customers
Jagabathula, Srikanth, (2017)
- More ...