Data Mining & Business Intelligence - Dec 2015

Information Technology (Semester 6)

TOTAL MARKS: 80
TOTAL TIME: 3 HOURS (1) Question 1 is compulsory.
(2) Attempt any three from the remaining questions.
(3) Assume data if required.
(4) Figures to the right indicate full marks. 1 (a) Define Business intelligence and decision support systems with examples.(10 marks) 1 (b) Explain Data mining as a step in KDD. Give the architecture of typical Data Mining system.(10 marks) 2 (a) Explain BIRCH algorithm with example.(10 marks) 2 (b) Explain different visualization techniques that can be used in data mining.(10 marks) 3 (a) Explain Multilevel association rules with suitable examples.(10 marks) 3 (b) Define classification, issues of classification and explain ID3 classification with example.(10 marks) 4 (a) Why is Data Preprocessing required? Explain the different steps involved in data preprocessing.(10 marks) 4 (b) What is text mining? Explain different approaches to text mining.(10 marks) 5 (a) Explain Business Intelligence Issues.(10 marks) 5 (b) What is clustering? Explain k-means clustering algorithm. Suppose the data for clustering - {2, 4, 10, 12, 3, 20, 11, 25}. Consider k=2, cluster the given data using above algorithm.(10 marks) 6 (a) Explain sequence mining in Transactional database.(10 marks) 6 (b) Design a BI system for fraud detection by describing all the steps from Data Collection to Decision Making.(10 marks)