A review on customer segmentation methods for personalized customer targeting in e-commerce use cases
M Alves Gomes, T Meisen - Information Systems and e-Business …, 2023 - Springer
The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
Comprehensive survey on big data privacy protection
In recent years, the ever-mounting problem of Internet phishing has been threatening the
secure propagation of sensitive data over the web, thereby resulting in either outright …
secure propagation of sensitive data over the web, thereby resulting in either outright …
An optimization approach for sustainable and resilient supply chain design with regional considerations
F Sabouhi, MS Jabalameli, A Jabbarzadeh - Computers & Industrial …, 2021 - Elsevier
Regional and geographical differences between facilities is of paramount importance in
supply chain design. However, the impact of the regions' performance on supply chain …
supply chain design. However, the impact of the regions' performance on supply chain …
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors
MCR Cordeiro, JM Martinez, S Peña-Luque - Remote Sensing of …, 2021 - Elsevier
Continuous monitoring of water surfaces is essential for water resource management. This
study presents a nonparametric unsupervised automatic algorithm for the identification of …
study presents a nonparametric unsupervised automatic algorithm for the identification of …
Clustering retail stores for inventory transshipment
EC Griffin, BB Keskin, AW Allaway - European Journal of Operational …, 2023 - Elsevier
Rapid growth in the world of e-commerce is forcing traditional retailers to rethink their
operational efficiency and revenue/cost streams. Retailers are facing increasing pressure to …
operational efficiency and revenue/cost streams. Retailers are facing increasing pressure to …
Clustering and analysis of air source heat pump air heater usage patterns of inhabitants in Qinghai-Tibet Plateau areas
J Li, M Deng, X Wang, X Wang, R Ma - Journal of Building Engineering, 2023 - Elsevier
Occupant behavior is one of the most important factors influencing the level of energy
consumption in the operational phase of buildings. The unique climatic conditions of the …
consumption in the operational phase of buildings. The unique climatic conditions of the …
Preparing for the future of work: a novel data-driven approach for the identification of future skills
The future of work is changing rapidly as result of fast technological developments,
decarbonization and social upheavals. Thus, employees need a new skillset to be …
decarbonization and social upheavals. Thus, employees need a new skillset to be …
Semantic web and web page clustering algorithms: a landscape view
AJ Obaid, T Chatterjee… - … Transactions on Energy …, 2021 - publications.eai.eu
The major evolution of the semantic web has become exchanging data between
applications in all domains of activities. Based on this vision, different applications in recent …
applications in all domains of activities. Based on this vision, different applications in recent …
A novel approach to text clustering using genetic algorithm based on the nearest neighbour heuristic
D Mustafi, A Mustafi, G Sahoo - International Journal of Computers …, 2022 - Taylor & Francis
In this paper, we propose a novel clustering algorithm which uses a weighted combination of
several criteria as its fitness function. We demonstrate the suitability of the new method in the …
several criteria as its fitness function. We demonstrate the suitability of the new method in the …
Analyzing continuous infrasound from Stromboli volcano, Italy using unsupervised machine learning
AJC Witsil, JB Johnson - Computers & Geosciences, 2020 - Elsevier
Infrasound data are used by scientists and monitoring observatories to track shifts in eruptive
behavior, identify signs of unrest, and ultimately help forecast major eruptions. However …
behavior, identify signs of unrest, and ultimately help forecast major eruptions. However …