Explain Stars, Snowflakes, and Fact Constellations Schemas.
[7 marks]Draw and explain the Data warehouse architecture.
[7 marks]Describe the steps involved in data mining when viewed as a process of knowledge discovery.
[7 marks]Explain research issues in Data Mining.
[7 marks]What is Data Mining? Explain Data Mining Process in detail.
[7 marks]Consider a transactional database where 1, 2, 3, 4, 5, 6, 7 are items. Suppose the minimum support is 60%. Find all frequent item sets using Apriori algorithm. ID ITEMS T_1 1, 2, 3, T_2 1, 2, 3, 4, T_3 1, 2, 3, T_4 1, 3, T_5 1, 2, 4, 5,
[6 marks]Define following terms & differentiate them: Data Mart, Enterprise Warehouse & Virtual Warehouse.
[7 marks]Discuss the variations of the Apriori algorithm to improve the efficiency.
[7 marks]Explain Classification and Regression for Predictive Analysis.
[7 marks]Why naïve Bayesian classification is called “naïve”? Briefly outline the major ideas of naïve Bayesian classification.
[7 marks]What do you mean by Random Forest Algorithm? Why is Random Forest Algorithm popular?
[7 marks]What are Outliers? Describe types of outliers also explain challenges of outliers detection.
[7 marks]List down the features of Bagged Trees. What are the Limitations of Bagging Trees?
[7 marks]Enlist the steps of K-Mean clustering algorithm. Explain it with suitable example.
[7 marks]Enlist the steps of ID3 decision tree generation algorithm. Explain it with suitable example and generate the tree.
[7 marks]Explain Clustering Methods in detail.
[7 marks]What is Decision Tree? Explain how classification is done using decision tree induction.
[7 marks]