| 期刊論文1. | Clark, P.、Niblett, T.(1989)。The CN2 Induction Algorithm。Machine Learning,3(4),261-283。 | 2. | Chawla, Nitesh V.、Bowyer, Kevin W.、Hall, Lawrence O.、Kegelmeyer, W. Philip(2002)。SMOTE: Synthetic Minority Over-sampling Technique。Journal of Artificial Intelligence Research,16(1),321-357。 | 3. | Jo, T.、Japkowicz, N.(2004)。Class Imbalances versus Small Disjuncts。SIGKDD Explorations,6(1),40-49。 | 會議論文1. | Caragea, D.、Cook, D.、Honavar, V.(2001)。Gaining Insights into Support Vector Machine Pattern Classifiers Using Projection-based Tour Methods251-256。 | 2. | Chawla, N. V.(2003)。C4.5 and Imbalanced Datasets: Investigating the Effect of Sampling Method, Probabilistic Estimate, and Decision Tree Structure。 | 3. | Chawla, N. V.、Lazarevic, A.、Hall, L. O.、Bowyer, K. W.(2003)。Smoteboost: Improving Prediction of the Minority Class in Boosting107-119。 | 4. | Del-Hoyo, R.、Buldain, D.、Marco, A.(2003)。Supervised Classification with Associative SOM334-341。 | 5. | Japkowicz, N.(2001)。Concept-Learning in the Presence of Between-class and Within-class Imbalances67-77。 | 6. | Maloof, M.(2003)。Learning When Data Sets Are Imbalanced and When Costs Are Unequal and Unknown。 | 7. | Zhang, J.、Mani, I.(2003)。KNN approach to Unbalanced Data Distributions: A Case Study Involving Information Extraction。 | 學位論文1. | Chyi, Y. M.(2003)。Classification Analysis Techniques for Skewed Class Distribution Problems。 | |