Nien-Ting Lee
A5082550616- Inertial Sensor and Navigation
- Customer churn and segmentation
- Indoor and Outdoor Localization Technologies
- GNSS positioning and interference
- Customer Service Quality and Loyalty
Yuan Ze University
2021-2023
Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with movement, using EvAAL framework. The provided unique overview of state-of-the-art systems, technologies, and methods positioning navigation purposes. Through fair comparison performance achieved each system, was able to identify most promising approaches pinpoint critical working conditions. In 2020, included 5 diverse off-site...
This study proposes a hybrid approach to predict customer churn by combining statistic approaches and machine learning models. Unlike traditional methods, where is defined fixed period of time, the proposed algorithm uses probability alive derived from statistical model dynamically determine line. After observing through clustering over method segmented customers into four behaviors: new, short-term, high-value, churn, selected models churned customers. combination reduces risk be misjudged...