Q1. Explain KDD diagram in details with figure.

This is question 1 (7 marks) from the GTU Data Mining MC Summer 2019 question paper. Subject code: 3640006.

Q2. Describe Application of Data Mining.

This is question 2 (7 marks) from the GTU Data Mining MC Summer 2019 question paper. Subject code: 3640006.

Q3. Discuss Apriori Algorithm with example.

This is question 3 (7 marks) from the GTU Data Mining MC Summer 2019 question paper. Subject code: 3640006.

Q3. Describe Frequent Pattern Mining in details.

This is question 3 (7 marks) from the GTU Data Mining MC Summer 2019 question paper. Subject code: 3640006.

Q3. Discuss Decision Tree Induction Algorithm.

This is question 3 (7 marks) from the GTU Data Mining MC Summer 2019 question paper. Subject code: 3640006.

SummerMC2019

Data Mining — Summer 2019

Q: Q4. Explain Bayes Classification Approach with example.

This is question 4 (7 marks) from the GTU Data Mining MC Summer 2019 question paper. Subject code: 3640006.

Subject Code3640006

ProgramMaster of Computer Applications

Total Marks70

Questions10

Exam Date20 May 2019

Questions17

Explain Following Term. 1. OLAP 2. OLTP 3. CHAID Stand For. 4. Association Mining. 5. MOLAP 6. Data Cube 7. Text Mining

[7 marks]

Explain KDD diagram in details with figure.

[7 marks]

Explain Data Preprocessing with its various methods.

[7 marks]

Discuss any three methods for pattern of data to be mined.

[7 marks]

Describe Application of Data Mining.

[7 marks]

What is Market Basket Analysis? Explain with Example.

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Explain Bayes Classification Approach with example.

[7 marks]

Explain DBSCAN Algorithm.

[7 marks]

Explain Rule base Classification with example.

[7 marks]

Discuss KNN Classifier.

[7 marks]

What is Cluster Analysis? Explain K-Mean algorithm with Centroid Based Approach.

[7 marks]

Discuss Data Mining for Financial Data Analysis.

[7 marks]

Explain K-Medoids Method.

[7 marks]

Describe Time Series and Graph Mining.

[7 marks]

Data Mining — Summer 2019

Questions17

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