IEEE

Customer Segmentation using Clustering Techniques: Data-Driven Approach to Enhance Marketing Strategy

Abstract: Customer segmentation is a vital strategy for businesses seeking to enhance their marketing efforts and optimize resource allocation. This research focuses on segmenting customers using the ...
IEEE

Developing Personalized Marketing Strategies Based on Customer Behavior Analysis Using Clustering and Machine Learning

Abstract: This study introduces a data-driven approach to customer segmentation using clustering algorithms like K-Means, DBSCAN, hierarchical clustering, and PCA. Customers are segmented based on ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Efficient Observation Time Window Segmentation for Administrative Data Machine Learning

Abstract: Machine learning models benefit when allowed to learn from temporal trends in time-stamped administrative data. These trends can be represented by dividing a model’s observation window into ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Reuters

China spotlights major data centre project using domestic chips

BEIJING, Sept 17 (Reuters) - China Unicom (0762.HK), opens new tab has built a massive data centre powered by domestically developed artificial intelligence chips from Alibaba and other companies, ...