Techniques of Decision Support Systems-Predictive Modeling

1. Discuss any 2 applications of neural network in data mining. Explain how the system could be used (purpose of the system).
2. Explain/Differentiate the following types of networks: Feedforward networks - Feedback networks - Lateral networks
3. Differentiate supervised learning, unsupervised learning and reinforced learning.
4. Explain the process to develop an ANN.
5. Explain the concepts of Support vector machine
6. Explain the purpose of maximizing the margin of the hyperplane.
7. Suggest one solution to resolve a non-linear data boundary.
8. Explain the process of developing an SVM model.
9. Explain the concept of k-nearest neighbor
10. What happen if the k value is too large? Explain.
11. Explain the process of developing a kNN model.