Q1. Why naive Bayesian Classification is termed as naive? In brief outline the main ideas of naive Bayesian classification.
Q2. Illustrate the various types of OLAP servers? Describe necessary differences between them.
Q3. Describe the features of the Neural Network based categorization.
Q4. Describe regarding the concept of data warehousing and the web.
Q6. Six observations on two variables are available as illustrated in the table shown below:
a) Plot the observations in the scatter diagram. Determine the number of groups present and what are their members?
b) Apply the closest neighbor method and the squared Euclidean distance as a measure of dissimilarity. Use a dendrogram to arrive at the number of groups and their membership.
Q7. Write brief note on any three:
a) Data mining Applications
b) Drill Down analysis
c) Hyper cubes
d) Metadata