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Re-appear MCA IV (Fourth) Semester Examination
2014-15
Course Code:MCA415
Paper ID:X874415
Data Ware Housing and Data Mining
Time: 3 Hours
Max. Marks: 70
Note: Attempt six questions in all. Q. No. 1 is compulsory.
1.
a)
b)
c)
d)
e)
f)
g)
h)
Answer any five of the following (limit your answer in 50
words).
(4x5=20)
What do you mean by the data mining?
Explain term Data preprocessing in mining systems.
Discuss integration of a data mining systems with data
warehouse systems.
Define the term the data descretization.
Explain the classification by decision tree induction in detail.
What are types of data in cluster analysis?
What do you mean by association?
What are applications of Data mining?
2. a)
b)
Discuss the major issues in data mining.
(5)
Discuss integration of a data mining systems with a
database.
(5)
3.
What do you mean by classifications? Write down its
methods.
(10)
4.
What do you mean by Cluster Analysis? Write down major
clustering methods.
(10)
5. a)
b)
What is data cleaning? Write down its steps.
Explain the multidimensional data model in detail.
6. a)
Write down process involved in mining World Wide
Web.
(5)
Write down process involved mining spatial database.
(5)
b)
(5)
(5)
7.
8.
What do you mean by Prediction? Write down the step of
calculating accuracy and error measures.
(10)
Write short notes on any two of the following:
a) OLAM
b) Prediction
c) Descriptive data summarization
(5+5)
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