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Explain the data cleaning, data integration and transformation in detail
data mining and business intelligence updated 2.7 years ago by DevarenjiniP • 3.2k
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(Duplicate) Explain the different measures of similarity and dissimilarity.
data mining and business intelligence updated 2.7 years ago by sagarkolekar ★ 11k
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What are the differences between data mining tools and business intelligence tools.
data mining and business intelligence updated 2.7 years ago by Krishna_Agrawal • 2.7k
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(Duplicate) Find all frequent item sets and association rule in the following database using Apriori Algorithm.
data mining and business intelligence updated 2.7 years ago by binitamayekar ★ 6.6k
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Explain different data reduction techniques
data mining and business intelligence updated 2.7 years ago by DevarenjiniP • 3.2k
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Describe the different types of attributes one may come across in a data mining data set with two examples of each type.
data mining and business intelligence updated 2.7 years ago by sagarkolekar ★ 11k
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Define Business Intelligence.
data mining and business intelligence updated 2.7 years ago by Krishna_Agrawal • 2.7k
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Define Decision Support System
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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Explain Naive bayes classifier.
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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What is linear and multiple regression
data mining and business intelligence updated 2.8 years ago by Krishna_Agrawal • 2.7k
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Define linear, non-linear and multiple regressions. Plan a regression model for Disease development with respect to change in weather parameters
data warehouse and mining data mining and business intelligence updated 2.8 years ago by Sharad • 160
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The table below shows a sample dataset of whether a customer responds to a survey or not. 'Outcome' is the class label.
data mining and business intelligence updated 2.8 years ago by binitamayekar ★ 6.6k
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For a new example (Rural, Semideatached, low, No).What will be the predicted class label?
data mining and business intelligence updated 2.8 years ago by binitamayekar ★ 6.6k
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Explain business Intelligence issues?
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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Apply the Apriori algorithm with minimum support of 30% and minimum confidence of 70%, and find all the association rules in the data set
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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Describe the Different type of attributes one may come across in a data mining data set with two example
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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Explain different methods that can be used to evaluate and compare the accuracy of different classification algorithms?
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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Write short notes on :Numerosity reduction.
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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Explain the different distance measures that can be used to compute distances between two clusters.
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
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What is clustering? Explain k-means clustering algorithm. Suppose the data for Clustering- (2,4,10,12,3,20,11,25)
data mining and business intelligence updated 2.8 years ago by pedsangini276 • 4.8k
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Dashboards in data visualization
data mining and business intelligence updated 2.9 years ago by teamques10 ★ 68k
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What is hierarchical clustering? Explain any two techniques for finding distance between the clusters in hierarchical clustering
data mining and business intelligence updated 3.0 years ago by binitamayekar ★ 6.6k
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WHAT IS KDD ?EXPLAIN ITS PROCESS?
data mining and business intelligence updated 3.0 years ago by sagarkolekar ★ 11k
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565
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What is effect of mining on environment?
data mining and business intelligence updated 3.5 years ago by teamques10 ★ 68k
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Explain Business Intelligence issues.
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
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