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Find all frequent itemset using apriori algorithm. Assume minimum support = 40%
data warehouse and mining updated 2.1 years ago by teamques10 ★ 65k
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(Duplicate) Write a short note on Operational V/s Decision support system
data warehouse and mining updated 2.2 years ago by binitamayekar ★ 6.4k
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What are the benefits of Data Warehouse. Explain its features
data warehouse and mining updated 2.2 years ago by sagarkolekar ★ 11k
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Define the term Data warehouse
data warehouse and mining updated 2.2 years ago by sagarkolekar ★ 11k
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Write a short note on Keys in Data Warehouse
data warehouse and mining updated 2.2 years ago by sagarkolekar ★ 11k
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Write a short note on Meta data in Data Warehouse
data warehouse and mining updated 2.2 years ago by sagarkolekar ★ 11k
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Write a short note on Random Forests
data warehouse and mining updated 2.3 years ago by sagarkolekar ★ 11k
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899
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Write a short note on Boosting
data warehouse and mining updated 2.3 years ago by sagarkolekar ★ 11k
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Write a short note on Bagging
data warehouse and mining updated 2.3 years ago by Krishna_Agrawal • 2.7k
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Perform K-means clustering on the given data where K=2. {(1,2), (2,3), (3,4), (4,5), (5,6)}
data warehouse and mining updated 2.3 years ago by binitamayekar ★ 6.4k
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What is clustering technique?
data warehouse and mining updated 2.3 years ago by binitamayekar ★ 6.4k
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Explain K-means Clustering algorithm and create 4 clusters for the following dataset. (2, 5), (2.5, 3), (3.5, 4), (5, 7.9), (8, 11.3), (11, 12), (12, 19), (13, 5), (7, 3), (11, 7), (15,15.1), (1, 2),
data warehouse and mining updated 2.3 years ago by binitamayekar ★ 6.4k
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Correlation and regression
data warehouse and mining updated 2.3 years ago by Krishna_Agrawal • 2.7k
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List and describe five primitives for specifying data mining task.
data warehouse and mining updated 2.3 years ago by Sharad • 130
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Discuss the steps of ETL Process
data warehouse and mining updated 2.3 years ago by Sharad • 130
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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 2.3 years ago by Sharad • 130
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Write difference between OLTP and OLAP.
data warehouse and mining updated 2.3 years ago by DevarenjiniP • 3.1k
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Differentiate Data Warehouse Vs Data Mart
data warehouse and mining updated 2.3 years ago by pedsangini276 • 4.8k
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Discuss various OLAP Models
data warehouse and mining updated 2.3 years ago by pedsangini276 • 4.8k
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Why is naive Bayes classification called naive? Briefly outline the major ideas of naive Bayes classification.
data warehouse and mining updated 2.3 years ago by pedsangini276 • 4.8k
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Write a short note on Statistical Description of data
data warehouse and mining updated 2.4 years ago by DevarenjiniP • 3.1k
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Apply desision tree algorithm and show the generated rules.
data warehouse and mining updated 2.4 years ago by binitamayekar ★ 6.4k
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1.5k
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Information requirements are recorded for Hotel occupancy considering dimensions like Hotel, Room and Time.
data warehouse and mining updated 2.5 years ago by teamques10 ★ 65k
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Define Classification. Discuss the issues in Classification.
data warehouse and mining updated 2.5 years ago by teamques10 ★ 65k
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Apply the Naive Bayes classifier algorithm to classify an unknown sample X (outlook = sunny, temperature = cool, humidity = high, windy = false ) The sample data set is as follows:
data warehouse and mining updated 2.5 years ago by teamques10 ★ 65k
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