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prachi.sagar

gravatar for prachi.sagar
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Last seen:
4 years, 2 months ago
Joined:
4 years, 4 months ago

Profile Strength:
20%
  • 45
    Questions
  • 11
    Answers
  • 30
    Awards
Information Tecnology
Mumbai University (MU)

Top contributions by prachi.sagar

1
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2
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31k
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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 months ago by sagarkolekar ★ 10k
3
votes
1
answer
27k
views
1
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What is noisy data? How to handle noisy data
data warehouse and mining updated 2.2 years ago by prashantsaini • 0
4
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1
answer
20k
views
1
answer
What are the major issues in Data Mining?
data warehouse and mining updated 6 weeks ago by teamques10 ★ 24k
1
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1
answer
13k
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1
answer
Write short notes on :Numerosity reduction.
data mining and business intelligence updated 3 months ago by sagarkolekar ★ 10k
0
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1
answer
10k
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1
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State the difference between clustering and classification
data warehouse and mining updated 2.2 years ago by prashantsaini • 0
0
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1
answer
8.3k
views
1
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Explain business Intelligence issues?
data mining and business intelligence updated 3 months ago by sagarkolekar ★ 10k
1
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1
answer
7.3k
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 months ago by sagarkolekar ★ 10k
7
votes
1
answer
6.9k
views
1
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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 3 months ago by sagarkolekar ★ 10k
2
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1
answer
5.4k
views
1
answer
Explain the different distance measures that can be used to compute distances between two clusters.
data mining and business intelligence updated 3 months ago by sagarkolekar ★ 10k
1
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1
answer
4.5k
views
1
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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 3 months ago by pedsangini276 • 4.2k
2
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1.7k
views
2
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A: What is noisy data? How to handle it?
updated 6.2 years ago by saylikt280 • 90
1
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1.0k
views
1
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A: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 7 months ago by unnon432 • 20
1
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499
views
1
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A: What is clustering? Explain k-means clustering algorithm. Suppose the data for C
updated 4.2 years ago by sanketshingote • 100
7
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256
views
7
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A: Explain different methods that can be used to evaluate and compare the accuracy
updated 5.8 years ago by ramnath • 100
1
vote
246
views
1
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A: Describe the different types of attributes one may come across in a data mining
updated 6.0 years ago by yashbeer ★ 10k
0
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226
views
0
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C: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 7 weeks ago by binitamayekar ★ 5.1k
3
votes
173
views
3
votes
A: What are the major issues in Data Mining?
updated 6.2 years ago by saylikt280 • 90
0
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136
views
0
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A: Explain business Intelligence issues?
updated 5.8 years ago by ramnath • 100
1
vote
77
views
1
vote
A: Write short notes on :Numerosity reduction.
updated 6.2 years ago by saylikt280 • 90
2
votes
68
views
2
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A: Explain the different distance measures that can be used to compute distances be
updated 5.8 years ago by ramnath • 100

Latest awards to prachi.sagar


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