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prachi.sagar

gravatar for prachi.sagar
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Last seen:
6 years, 9 months ago
Joined:
6 years, 10 months ago

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

Top contributions by prachi.sagar

4
votes
2
answers
53k
views
2
answers
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 2.8 years ago by sagarkolekar ★ 11k
5
votes
1
answer
40k
views
1
answer
What is noisy data? How to handle noisy data
data warehouse and mining updated 4.8 years ago by prashantsaini • 0
6
votes
1
answer
28k
views
1
answer
What are the major issues in Data Mining?
data warehouse and mining updated 2.6 years ago by teamques10 ★ 68k
1
vote
1
answer
23k
views
1
answer
Explain data discretization and concept hierarchy generation
data mining and business intelligence updated 2.6 years ago by binitamayekar ★ 6.6k
3
votes
1
answer
21k
views
1
answer
Explain various attribute selection measures
data mining and business intelligence updated 2.6 years ago by binitamayekar ★ 6.6k
1
vote
1
answer
15k
views
1
answer
Write short notes on :Numerosity reduction.
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
6
votes
1
answer
12k
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 2.6 years ago by binitamayekar ★ 6.6k
0
votes
1
answer
11k
views
1
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State the difference between clustering and classification
data warehouse and mining updated 4.8 years ago by prashantsaini • 0
1
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1
answer
11k
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 2.8 years ago by sagarkolekar ★ 11k
0
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1
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11k
views
1
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Explain business Intelligence issues?
data mining and business intelligence updated 2.8 years ago by sagarkolekar ★ 11k
4
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3.2k
views
4
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A: What is noisy data? How to handle it?
updated 8.7 years ago by saylikt280 • 90
4
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2.9k
views
4
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A: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 3.1 years ago by unnon432 • 20
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 2.7 years ago by binitamayekar ★ 6.6k
1
vote
905
views
1
vote
A: What is clustering? Explain k-means clustering algorithm. Suppose the data for C
updated 6.8 years ago by sanketshingote • 100
1
vote
568
views
1
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A: Describe the different types of attributes one may come across in a data mining
updated 8.5 years ago by yashbeer ★ 11k
7
votes
467
views
7
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A: Explain different methods that can be used to evaluate and compare the accuracy
updated 8.4 years ago by ramnath • 100
5
votes
438
views
5
votes
A: What are the major issues in Data Mining?
updated 8.7 years ago by saylikt280 • 90
0
votes
264
views
0
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A: Explain business Intelligence issues?
updated 8.4 years ago by ramnath • 100
2
votes
169
views
2
votes
A: Explain the different distance measures that can be used to compute distances be
updated 8.4 years ago by ramnath • 100
1
vote
113
views
1
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A: Write short notes on :Numerosity reduction.
updated 8.7 years ago by saylikt280 • 90

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