Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...

Customer data platforms (CDPs) first gained popularity among marketing users as the technology tackled the marketing function’s complex customer data management challenges. These challenges included ...

Abstract: We live in a world where huge amount of data is collected daily. Analyzing such data is an important need. For example, businesses often struggle to recognize their potential customers; to ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

Institute of Graduate Studies, Business Administration, Istanbul Gelisim University, Istanbul, Turkiye. The data obtained through chatbots makes customer segmentation processes more dynamic and ...

Smarter segmentation starts now. AI connects scattered customer data to allow more precise, real-time audience targeting across every channel. Online meets offline. Linking digital behavior with ...

Primary notebook environment used for data cleaning, exploratory data analysis (EDA), SQL query execution (via SQLite), exporting .ipynb notebooks to Python scripts and testing those scripts.

Customer segmentation assumes that different customers require different marketing programs—different offers, prices, promotions, distribution methods, or a combination of these variables. This ...