A5113744783- Gaze Tracking and Assistive Technology
- Time Series Analysis and Forecasting
- Colorectal Cancer Screening and Detection
- Sports Analytics and Performance
- Gastric Cancer Management and Outcomes
- Helicobacter pylori-related gastroenterology studies
- Big Data and Business Intelligence
- Traffic Prediction and Management Techniques
- Data Mining Algorithms and Applications
- Customer churn and segmentation
University of Science and Technology of China
2024
Dalian University of Technology
2024
Tianjin University
2006
This paper describes the importance and definition of churn analysis securities business. According to RFM model CRM theory decision tree method, business is set up based on data mining from history trading database. In order simplify structure tree, optimal stopping method selected as a pruning strategy. Through above analysis, we propose RFM-ROI that return investment included very important index can discover customer profit loss in
This study conducted an in-depth analysis of the momentum shift phenomenon during men's singles matches at 2023 Wimbledon Open, with aim quantifying changes and their impact on match outcomes through a comprehensive data framework that incorporates multivariate statistical methods such as BP neural networks, principal component (PCA), entropy weighting analysis, linear regression. The model, after sensitivity quantification player rankings, is capable predicting shifts providing athletes...
Objective The risk of gastric cancer can be predicted by gastroscopic manifestation recognition and the Kyoto Gastritis Score. This study aims to validate applicability AI approaches for recognizing manifestations according definition Score, with goal improving early detection reducing mortality.