A5045234607- Imbalanced Data Classification Techniques
- Financial Distress and Bankruptcy Prediction
- Image Retrieval and Classification Techniques
- Machine Learning and Data Classification
- Data Mining Algorithms and Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence in Healthcare
- Face and Expression Recognition
- Stock Market Forecasting Methods
- Remote-Sensing Image Classification
- Text and Document Classification Technologies
- Video Analysis and Summarization
- Rough Sets and Fuzzy Logic
- Neural Networks and Applications
- Customer churn and segmentation
- Anomaly Detection Techniques and Applications
- Sentiment Analysis and Opinion Mining
- scientometrics and bibliometrics research
- Customer Service Quality and Loyalty
- Advanced Text Analysis Techniques
- Digital Marketing and Social Media
- Credit Risk and Financial Regulations
- Corporate Finance and Governance
- Metaheuristic Optimization Algorithms Research
- Recommender Systems and Techniques
National Central University
2015-2024
National Chung Cheng University
2005-2015
SUNY Oneonta
2015
Feng Chia University
2015
University of Sunderland
2003-2005
K-nearest neighbor (k-NN) classification is conventional non-parametric classifier, which has been used as the baseline classifier in many pattern problems. It based on measuring distances between test data and each of training to decide final output.Since Euclidean distance function most widely metric k-NN, no study examines performance k-NN by different functions, especially for various medical domain Therefore, aim this paper investigate whether can affect over datasets. Our experiments...
Breast cancer is an all too common disease in women, making how to effectively predict it active research problem. A number of statistical and machine learning techniques have been employed develop various breast prediction models. Among them, support vector machines (SVM) shown outperform many related techniques. To construct the SVM classifier, first necessary decide kernel function, different functions can result performance. However, there very few studies focused on examining...
For financial institutions, the ability to predict or forecast business failures is crucial, as incorrect decisions can have direct consequences. Bankruptcy prediction and credit scoring are two major research problems in accounting finance domain. In literature, a number of models been developed whether borrowers danger bankruptcy they should be considered good bad risk. Since 1990s, machine-learning techniques, such neural networks decision trees, studied extensively tools for score...