Data Mining and Business Intelligence — Summer 2024

Discuss possible ways for integration of a Data Mining system with a Database or Data Warehouse system.

Define following terms Data Mart, Enterprise Warehouse, Virtual Warehouse

What is Cuboid? Explain various OLAP operations on data cube with example.

Explain KDD Process in detail.

Define Schema. Explain the following schemas with suitable example. Star, Snowflakes

Explain the major issues in data mining.

Explain outlier analysis.

How data mining is useful for retail industry.

Differentiate OLTP and OLAP.

How data mining is useful for banking and finance.

List and describe methods for handling missing values in data cleaning.

With the help of a neat diagram explain the 3-tier architecture of a data warehouse.

What is noise? Explain data smoothing techniques.

Write a note on web mining.

Explain the steps of the Apriori Algorithm for mining Frequent Itemsets with Candidate Generation. Use a suitable example to illustrate your answer.1

Draw the topology of a multilayer, feed-forward Neural Network.

Briefly explain Linear and Non-linear regression.

Explain text mining using example.

What is Market Basket Analysis? Explain Association Rules with Confidence & Support.

Differentiate Clustering and classification.

Discuss Hash-based technique to improve efficiency of Apriori algorithm.

Explain working of k-Means clustering algorithm.

Briefly explain classification and prediction.

What is clustering? List out the General applications of Clustering.

Explain Hadoop Architecture.