Data Mining and Data Warehousi2

Answer and expaination the questions as per requirement.

Questions:
1- Define the concepts of outlier analysis? Illustrate the three fundamental Approaches to
Detect Outliers with suitable applications.
2- What are the strengths of using neural network as a classifier?
3- Clustering is recognized as an important data mining task with broad applications. Give
one application example for each of the following cases:
(a) An application that uses clustering as a major data mining function.
(b) An application that uses clustering as a preprocessing tool for data preparation for other
data mining tasks
Answer (sample)
4- Describe the k-mean and DBSCAN clustering algorithms in terms of the following
criteria:
(a) shapes of clusters that can be determined.
(b) input parameters that must be specified; and
(c) limitations.
Answer:
Cluster algorithm
K-mean
DBSCAN
Shape of cluster
Input parameter
Limitation