Bachelors Level/Fourth Year/Eighth Semester/Science bit/eighth semester/data warehousing and data mining/syllabus wise questions
Bachelors In Information Technology
Institute of Science and Technology, TU
Data Warehousing and Data Mining (BIT454)
Year Asked: 2081, syllabus wise question
Classification and Prediction
1.
What do you understand by classification by back propagation? How is it different from Bayesian classification? Explain.[10]
Cluster Analysis
1.
List different clustering approaches. Write the algorithm of K-means algorithm. What are its limitations?[10]
Data Cube Technology
1.
Define full cube. Discuss the working mechanism of beam search.[5]
2.
Explain any two conceptual modeling techniques of data warehousing.[5]
Data Preprocessing
1.
Why is data preprocessing required? Explain any two data preprocessing methods.[5]
Graph Mining and Social Network Analysis
1.
How do you carry out social network analysis? List two of its uses.[5]
Introduction to Data Warehousing
1.
Differentiate between data warehouse and operational database.[5]
2.
What are the data mining functionalities? Explain.[5]
Mining Frequent Patterns
1.
Generate the frequent itemset from the following data using the Apriori algorithm and find the strong association rules. Minimum Support = 60%, Minimum Confidence = 75%.