QUESTION PAPER- Data Warehousing and Data Mining

Model Paper

Data Warehousing and Data Mining

1.(a) What is OLAP? Discuss about OLAP operations.

(b) What is Multidimensional Model?

(c) What is Generalized Rule?

(d) Explain about different cluster categories.

(e) How can the root of the decision tree was initialized?

(f) What kinds of data used in Data Mining?

(g) What is Meta data? Describe the types of Metadata.

(h) What is Episode Discovery?

 

Unit-I

2.(a) What is Data Warehouse? Discuss the difference between  Warehouse and Database.

(b) What is Warehouse Schema? Discuss about Star Schema.

(or)

(c) Discuss about the phases of Warehouse Architecture.

(d) Discuss about Indexing Techniques used to organize the data in the Data Warehouse.

 

Unit-II

3.(a) Discuss and Compare  i. Priori Algorithm. ii. PAM Algorithm

 

(b) What is Association Rule? Is every subset of any item set must contain either a frequent set  or a border set. Justify.

(or)

(b) Discuss about FP-Tree Growth Algorithm.

(c) Discus about various categories of Association Rules

Unit-III

4.(a) What is Decision Tree? Discuss about Decision Tree Construction Algorithms.

(b) Discuss about Bayesian Classification.

(or)

(c) What is the purpose of Neural Network? Discuss about types of Neural Networks?

(d) Discuss about salient features of the generic algorithm? How can a data mining problem can be an optimization problem? How can do you use generic algorithms for such a cases?

Unit-IV

5.(a) What is clustering? Discuss about various categories of clustering.

(b) Discuss about DBSCAN Algorithm.

(or)

(c) Discuss about BIRCH clustering

(d) Discuss about STING Algorithm with example.