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madhusudhan5a9

gravatar for madhusudhan5a9
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7 years, 9 months ago
Joined:
7 years, 11 months ago

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  • 45
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  • 11
    Answers
  • 30
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Information Tecnology
Mumbai University (MU)

Top contributions by madhusudhan5a9

4
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2
answers
55k
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2
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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 3.9 years ago by phenjoisilab • 0
5
votes
1
answer
42k
views
1
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What is noisy data? How to handle noisy data
data warehouse and mining updated 5.8 years ago by parviagrawal100 • 0
6
votes
1
answer
29k
views
1
answer
What are the major issues in Data Mining?
data warehouse and mining updated 3.7 years ago by teamques10 ★ 70k
1
vote
1
answer
27k
views
1
answer
Explain data discretization and concept hierarchy generation
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
3
votes
1
answer
23k
views
1
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Explain various attribute selection measures
data mining and business intelligence updated 3.7 years ago by pg1118329 • 0
1
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1
answer
16k
views
1
answer
Write short notes on :Numerosity reduction.
data mining and business intelligence updated 3.9 years ago by phenjoisilab • 0
6
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1
answer
16k
views
1
answer
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
0
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1
answer
12k
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1
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State the difference between clustering and classification
data warehouse and mining updated 5.8 years ago by parviagrawal100 • 0
1
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1
answer
12k
views
1
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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 3.9 years ago by phenjoisilab • 0
2
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1
answer
11k
views
1
answer
Explain the architecture of a BI system
data mining and business intelligence updated 3.7 years ago by 19bcs3866 • 10
4
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3.3k
views
4
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A: What is noisy data? How to handle it?
updated 9.8 years ago by saylikt280 • 90
4
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3.0k
views
4
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A: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 4.2 years ago by abhi107vi243 • 10
0
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1.8k
views
0
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C: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 3.7 years ago by pg1118329 • 0
1
vote
948
views
1
vote
A: What is clustering? Explain k-means clustering algorithm. Suppose the data for C
updated 7.8 years ago by ddigantarroy • 0
1
vote
586
views
1
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A: Describe the different types of attributes one may come across in a data mining
updated 9.6 years ago by yashbeer ★ 11k
7
votes
470
views
7
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A: Explain different methods that can be used to evaluate and compare the accuracy
updated 9.4 years ago by juilee • 100
5
votes
447
views
5
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A: What are the major issues in Data Mining?
updated 9.8 years ago by saylikt280 • 90
0
votes
265
views
0
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A: Explain business Intelligence issues?
updated 9.4 years ago by juilee • 100
2
votes
171
views
2
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A: Explain the different distance measures that can be used to compute distances be
updated 9.4 years ago by juilee • 100
1
vote
114
views
1
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A: Write short notes on :Numerosity reduction.
updated 9.8 years ago by saylikt280 • 90

Latest awards to madhusudhan5a9


created an answer with at least 3 up-votes

created 50 posts within first three months of joining

created a question with more than 1,000 views

created a question with more than 10,000 views

created a question with more than 5,000 views