RTU Previous Question Papers B-Tech CSE 7th Sem
Data Mining and Warehousing Jan 2010
Paper Code: 7E4092
a) Describe the major elements of data mining.
b) Explain the term missing value. Noisy data and data cleaning.
a) What is data integration and transformation? Explain with example.
b) Explain data cube aggregation in brief.
a) What is mining association rule? Explain.
b) Describe technique to improve efficiency of mining association rules.
a) Explain in brief the measure of central tendency.
b) Explain Apriori algorithm with an example.
Explain Gaussiall Bayes classifiers in detail.
a) Differentiate between feed forward and feedback system.
b) Explain K-Means clustering.
a) What is data warehousing? Explain.
b) Write short note on data marting.
Explain conceptual modeling of data warehouses.
a) What are the different security issues in data warehousing?
b) Explain testing data quality using cross footing techniques.
Write short notes on:
i) OLAP tools
ii) Backup and recovery with respect to data warehousing.