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Data Warehousing and Data Mining
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Write down short notes on:
a. Data Mart (unit 1)
b. Market Basket Analysis (Unit 5)
Answered
Data Warehousing and Data Mining
Asked on 2079 Exam
Discuss the concept of text mining with its practical implications. (Unit 9)
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Data Warehousing and Data Mining
Asked on 2079 Exam
What are application areas of graph mining? Explain the concept behind inductive logic programming with suitable demonstration. (Unit 8)
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Data Warehousing and Data Mining
Asked on 2079 Exam
What is confusion matrix? Discuss various classification measures along with their mathematical formulae. (Unit 6)
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Data Warehousing and Data Mining
Asked on 2079 Exam
Discuss the concept of K-means++ and Mini-batch K-means algorithm. (unit 7)
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Data Warehousing and Data Mining
Asked on 2079 Exam
What are two categories of hierarchical clustering? Divide the following data points into two clusters using agglomerative clustering. (Unit 7)
{ {(2,10), ((2,5), (8,4), (5,8), (7,5), (6,4))
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Data Warehousing and Data Mining
Asked on 2079 Exam
Why data normalization is important in data mining? Explain min-max and Z-score normalization approach. (Unit 3)
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Data Warehousing and Data Mining
Asked on 2079 Exam
Discuss different types of attributes with suitable example of each. (Unit 2)
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Data Warehousing and Data Mining
Asked on 2079 Exam
Suppose that we have 5 dimensional data. What will be total number of cuboids generated? If we consider each dimension has 5 levels, what will be the number of cuboids generated?
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Data Warehousing and Data Mining
Asked on 2079 Exam
Why OLAP operations are used? Discuss various OLAP operation with suitable example of each. (Unit 1)
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Data Warehousing and Data Mining
Asked on 2079 Exam
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