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prachi.sagar

gravatar for prachi.sagar
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Last seen:
6 years, 1 month ago
Joined:
6 years, 3 months ago

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

Top contributions by prachi.sagar

2
votes
2
answers
51k
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 2.2 years ago by sagarkolekar ★ 11k
5
votes
1
answer
39k
views
1
answer
What is noisy data? How to handle noisy data
data warehouse and mining updated 4.2 years ago by prashantsaini • 0
4
votes
1
answer
27k
views
1
answer
What are the major issues in Data Mining?
data warehouse and mining updated 2.0 years ago by teamques10 ★ 64k
1
vote
1
answer
21k
views
1
answer
Explain data discretization and concept hierarchy generation
data mining and business intelligence updated 2.0 years ago by binitamayekar ★ 6.4k
3
votes
1
answer
18k
views
1
answer
Explain various attribute selection measures
data mining and business intelligence updated 2.0 years ago by binitamayekar ★ 6.4k
1
vote
1
answer
15k
views
1
answer
Write short notes on :Numerosity reduction.
data mining and business intelligence updated 2.2 years ago by sagarkolekar ★ 11k
0
votes
1
answer
11k
views
1
answer
State the difference between clustering and classification
data warehouse and mining updated 4.2 years ago by prashantsaini • 0
1
vote
1
answer
10k
views
1
answer
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 2.2 years ago by sagarkolekar ★ 11k
0
votes
1
answer
10k
views
1
answer
Explain business Intelligence issues?
data mining and business intelligence updated 2.2 years ago by sagarkolekar ★ 11k
2
votes
1
answer
9.9k
views
1
answer
Explain the architecture of a BI system
data mining and business intelligence updated 2.1 years ago by DevarenjiniP • 3.1k
4
votes
3.0k
views
4
votes
A: What is noisy data? How to handle it?
updated 8.1 years ago by saylikt280 • 90
2
votes
2.7k
views
2
votes
A: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 2.5 years ago by unnon432 • 20
0
votes
1.6k
views
0
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C: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 2.1 years ago by binitamayekar ★ 6.4k
1
vote
867
views
1
vote
A: What is clustering? Explain k-means clustering algorithm. Suppose the data for C
updated 6.2 years ago by sanketshingote • 100
1
vote
539
views
1
vote
A: Describe the different types of attributes one may come across in a data mining
updated 7.9 years ago by yashbeer ★ 11k
7
votes
464
views
7
votes
A: Explain different methods that can be used to evaluate and compare the accuracy
updated 7.8 years ago by ramnath • 100
3
votes
435
views
3
votes
A: What are the major issues in Data Mining?
updated 8.1 years ago by saylikt280 • 90
0
votes
256
views
0
votes
A: Explain business Intelligence issues?
updated 7.8 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 7.8 years ago by ramnath • 100
1
vote
112
views
1
vote
A: Write short notes on :Numerosity reduction.
updated 8.1 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