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What is Data Quality Problem and assurance.
data mining and business intelligence updated 3.2 years ago by yashbeer ★ 11k
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Use K-means to cluster the following data set into 3 clusters.
data mining and business intelligence updated 3.6 years ago by pg1118329 • 0
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K-Nearest-Neighbor (KNN) Classifier Problem.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Multiple Linear Regression Problem.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Linear Regression Problem for Pearson product moment correlation coefficient (r).
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Explain data discretization and concept hierarchy generation
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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What are the different ways to handle missing values
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Explain various attribute selection measures
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Explain various outlier detection methods.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Assume that the database D is given by the table below. Follow single link technique to find clusters in D. Use Euclidean distance measure.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Consider the following data points:13,15,16,16,19,20,20,21,22,22,25,25,25,25,30,33,33,35,35,35,35,36,40,45,46,52,70.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Illustrate any one classification technique for the above data set. Show how can we classify a new tuple, with (Homeowner=Yes, Status=Employed, Income=Average)
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Which major fields use Data Mining?
data mining and business intelligence updated 3.7 years ago by teamques10 ★ 70k
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What is Data mining?
data mining and business intelligence updated 3.7 years ago by teamques10 ★ 70k
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What are the different tasks of data mining?
data mining and business intelligence updated 3.7 years ago by teamques10 ★ 70k
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Discuss the apriori algorithm for discovering frequent itemsets.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Define Outlier and different types of Outlier
data mining and business intelligence updated 3.7 years ago by 19bcs3866 • 10
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Explain the architecture of a BI system
data mining and business intelligence updated 3.7 years ago by 19bcs3866 • 10
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Explain the different phases in the development of BI system
data mining and business intelligence updated 3.7 years ago by 19bcs3866 • 10
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Explain the decision making process
data mining and business intelligence updated 3.7 years ago by 19bcs3866 • 10
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Explain the structure of a decision support system
data mining and business intelligence updated 3.7 years ago by 19bcs3866 • 10
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Explain one Hierarchical clustering algorithm using an example dendogram.
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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Write a note on confusion matrix
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
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(Duplicate) Explain the concept of a decision support system with the help of an Example application?-
data mining and business intelligence updated 3.7 years ago by phenjoisilab • 0
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(Duplicate) Use the Apriori algorithm to identify the frequent item-sets in the following database. Then extract the strong association rules from these sets Min.Support =30%, Min.Confidence =75%
data mining and business intelligence updated 3.7 years ago by phenjoisilab • 0
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