MU Information Technology (Semester 8)
Big Data Analytics
May 2016
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


Write short note on
1(a) Big Data & its characteristics
5 M
1(b) Distance Measures for Big Data
5 M
1(c) The Map & Reduce Tasks
5 M
1(d) Multistage Frequent Itemset Mining Algorithm.
5 M

2(a) Explain HDFS architecture with diagram.
10 M
2(b) Explain Column family store and Graph Store NoSQL architectural pattern with examples.
10 M

3(a) Explain Matrix-Vector multiplication algorithm by MapReduce?
10 M
3(b) Explain Issues in Data stream query processing?
10 M

Explain
4(a)1) Bloom Filter with the help of an example
5 M
4(b)2) Steps of HITS algorithm
5 M

5(a) Explain Park-Chen-Yu algorithm? How memory mapping is done in PCY?
10 M
5(b) Explain CURE algorithm with initialization & completion phase?
10 M

6(a) How recommendation is done on properties of product? Explain with suitable example?
10 M
6(b) For following graph, show how the clique percolation method (CPM) find cliques. Explain with steps?

10 M



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