JNTU B Tech ii Semester Examinations, Data Warehousing And Data Mining Apr/May 2008


JNTU B.Tech II Semester Examinations,

                                                                                              Data Warehousing And Data Mining

Apr/May 2008

(Information Technology)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks


1. (a) Explain the major issues in data mining.

(b) Explain the three-tier datawarehousing architecture. [8+8]


2. Discuss the role of data compression and numerosity reduction in data reduction process. [16]


3. Write the syntax for the following data mining primitives:

(a) The kind of knowledge to be mined.

(b) Measures of pattern interestingness. [16]


4. (a) What are the differences between concept description in large data bases and OLAP?

(b) Explain about the graph displays of basic statistical class description. [8+8]


5. Explain the Apriori algorithm with example. [16]


6. (a) Describe the data classification process with a neat diagram.

(b) How does the Naive Bayesian classification works? Explain.

(c) Explain classifier accuracy. [5+5+6]


7. (a) Given two objects represented by the tuples (22,1,42,10) and (20,0,36,8):

i. Compute the Euclidean distance between the two objects.

ii. Compute the Manhanttan distance between the two objects.

iii. Compute the Minkowski distance between the two objects, using q=3.

(b) Explain about Statistical-based outlier detection and Deviation-based outlier detection. [3+3+4+3+3]


8. Explain the following:

(a) Constriction and mining of object cubes

(b) Mining associations in multimedia data

(c) Periodicity analysis

(d) Latent semantic indexing. [4+4+4+4]

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