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Discuss Association Rule Mining and Apriori Algorithm.
data warehouse and mining updated 4.1 years ago by pg1118329 • 0
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Write a short note on Data transformation and data discretization with respect to preprocessing
data warehouse and mining updated 4.1 years ago by bhaskar12082000 • 0
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Document Data store and column family data store
data warehouse and mining updated 4.2 years ago by pg1118329 • 0
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(Duplicate) Metrics for Evaluating Classifier Performance
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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Write a short note on Measuring, similarity and dissimilarity
data warehouse and mining updated 4.2 years ago by 19bcs3866 • 10
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Focus on term Preprocessing with respect to data mining
data warehouse and mining updated 4.2 years ago by 19bcs3866 • 10
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Explain the types of attributes and data visualization for data exploration
data warehouse and mining updated 4.2 years ago by 19bcs3866 • 10
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What is dimensional modeling?
data warehouse and mining updated 4.2 years ago by pg1118329 • 0
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Explain K Means clustering algorithm? Apply K Means algorithms for the following data set with two clusters. Data set = {1, 2, 6, 7, 8, 10, 15, 17, 20}
data warehouse and mining updated 4.2 years ago by pg1118329 • 0
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(Duplicate) Write a short note on Metrics for Evaluating Classifier Performance
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Discuss 1)The Steps in Knowledge discovery (KDD) process 2) Architecture of a typical Data Mining system
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Write a short note on Decision tree based classification Approach
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Explain ETL of data warehousing in detail
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Apply the Naive Bayes classifier algorithm foe buys computer classification
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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Write a short note on Divisive based clustering
data warehouse and mining updated 4.2 years ago by pg1118329 • 0
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(Duplicate) Explain K Means clustering algorithm? Apply K Means algorithms for the following data set with two clusters. Data set = {15, 15, 16, 19, 19, 20, 20, 21, 22, 28, 35, 40, 41, 42, 43, 44, 60, 61, 65}
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Design the star schema for the application.
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Write a short note on Factless fact table
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Explain the Techniques of data loading
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Write a short note on BRICH
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) A database has ten transactions. Let minimum support = 30% and minimum confidence = 70% i) Find all frequent patterns using Apriori Algorithm ii) List strong association rules.
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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(Duplicate) Write a short note on Constraint based Association Mining
data warehouse and mining updated 4.2 years ago by phenjoisilab • 0
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A database has four transactions. Let minimum support = 50% and minimum confidence = 50%
data warehouse and mining updated 4.2 years ago by pg1118329 • 0
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What are the major issues in Data Mining?
data warehouse and mining updated 4.2 years ago by teamques10 ★ 70k
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Multidimensional Analysis or Online Analytical Processing (OLAP)
data warehouse and mining updated 4.2 years ago by krithikkm200 • 10
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