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Data Warehouse And Mining

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8
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1
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23k
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1
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Top-down and bottom-up approaches for building data warehouse.
data warehouse and mining updated 4.2 years ago by teamques10 ★ 70k
0
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1.2k
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Explain the need of data transmission and telemetry. What are the different modulation methods used in RF telemetry system.
data warehouse and mining updated 4.7 years ago by teamques10 ★ 70k
0
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1
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730
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What is the need of modulation in data transmission ?Explain with waveforms the various digital modulation techniques.
data warehouse and mining updated 4.7 years ago by teamques10 ★ 70k
2
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22k
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Explain K-means clustering algorithm? Apply K-Means algorithm for the following Data Set = { 15, 15, 16, 19, 20, 21, 22, 28, 35, 40, 41, 42, 43, 44, 60, 61, 65}
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
2
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15k
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Find clusters using k-means clustering algorithm if we have several objects (4 types of medicines) and each object have two attributes or features as shown in the table below.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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Use Data set in Appendix A. Use K-means algorithm to create two clusters.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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3.7k
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Use following data set and create 3 cluster using K-means algorithm with-12, 23 and 67 as initial cluster centers. 8,45,23,48,67,22,56,66,76,12,17, 38, 70, 25
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
1
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15k
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Use K-means algorithm to create 3-clusters for given set of values. {2, 3, 6, 8, 9, 15, 18, 22}
data warehouse and mining updated 5.9 years ago by parviagrawal100 • 0
0
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What are the features required in Mining algorithm to Cluster Data Stream? Explain different methodology used for Stream Data mining.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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1
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3.5k
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Spatial clustering Algorithm
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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1
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12k
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State the difference between clustering and classification
data warehouse and mining updated 5.9 years ago by parviagrawal100 • 0
3
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12k
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What is Clustering? Explain requirements and application in detail.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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11k
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Write a short note on DBSCAN.
data warehouse and mining updated 5.9 years ago by parviagrawal100 • 0
5
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50k
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what is Concept Hierarchy? How Concept Hierarchy is generated for Numerical and categorical data?
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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12k
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Write a short note on Hierarchical Clustering
data warehouse and mining updated 5.9 years ago by parviagrawal100 • 0
3
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16k
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Explain Agglomerative Clustering with an example.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
1
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5.5k
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Consider the data given below. Create adjacency matrix. Apply single link algorithm to cluster the given data set and draw the dendogram.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
1
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7.6k
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What is Clustering Technique ? Discuss the Agglomerative algorithm with the following data and plot a Dendrogram using single link approach.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
1
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1
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3.7k
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1
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Following table gives fat and protein content of items. Apply single linkage clustering and construct dendogram.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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1
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4.3k
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Explain Regression. Write short notes on non-linear regression.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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5.6k
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A database has five transactions. Let minimum support = 30% and minimum confidence = 70%
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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1
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1.9k
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A database has ten transactions. Let minmum support = 30% and minimum Cofidence = 70%
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
14
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1
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93k
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A database has five transactions. Let min-support = 60_ and min- confidence = 80%. Find all frequent item sets by using Apriori Algorithm T_ID is the transaction ID
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
2
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1
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7.5k
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Consider the following database with minimum support count=60%. Find all frequent item set using Apriori and also generate strong association roles if minimum confidence = 50%.
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
0
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1
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A database has four transitions. Let minimum support and confidence is 50%
data warehouse and mining updated 5.9 years ago by teamques10 ★ 70k
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