JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech IV Year DATA MINING Previous Question Paper (January/February - 2023 - R18)
Note: i) Question paper consists of Part A, Part B. ii) Part A is compulsory, which carries 25 marks. In Part A, answer all questions. iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
What is data warehouse?
Answer
A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data used to support management decision-making processes. It consolidates data from multiple heterogeneous sources into a unified repository for analytical reporting and data analysis.
List out the applications of data mining.
Answer
- Market basket analysis and retail sales forecasting.
- Financial data analysis, including fraud detection and credit risk assessment.
- Healthcare and medical diagnosis.
- Telecommunications for network fault analysis and customer churn prediction.
- Scientific research and bioinformatics.
What is meant by association rule mining?
Answer
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Write a short note on SPM algorithm?
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Why are decision trees useful?
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List the advantages of using decision trees.
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Discuss the two approaches to improve quality of hierarchical clustering.
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List the applications of cluster analysis.
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Define data stream mining.
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Give the taxonomy of web mining.
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Part B
Explain how to integrate data mining system with a data warehouse.
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"Data preprocessing is necessary before data mining process". Justify your answer.
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Differentiate between data mining and data warehouse.
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Discuss the major issues in data mining.
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Write a short notes on constraint based association mining.
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Describe various types of association rules.
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Explain in detail about frequent pattern mining in data mining.
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Describe Bayesian Belief Network with an example.
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Briefly explain classification problems and general approaches to solve them.
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Explain the merits and de-merits of the lazy learning method.
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Explain the following.
Cluster analysis.
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Grid–based methods.
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How density based method is used for clustering?
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Illustrate K-mean algorithm with an example.
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Explain the following.
Spatial data mining.
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Text mining.
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Discuss various kinds of patterns to be mined from web/server logs in web usage mining.
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