Ask
Login

prachi.sagar

gravatar for prachi.sagar
Reputation:
Level 0
Status:
Active


Last seen:
6 years, 7 months ago
Joined:
6 years, 8 months ago

Profile Strength:
20%
  • 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 2.7 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 4.6 years ago by prashantsaini • 0
5
votes
1
answer
28k
views
1
answer
What are the major issues in Data Mining?
data warehouse and mining updated 2.5 years ago by teamques10 ★ 67k
1
vote
1
answer
22k
views
1
answer
Explain data discretization and concept hierarchy generation
data mining and business intelligence updated 2.5 years ago by binitamayekar ★ 6.5k
3
votes
1
answer
20k
views
1
answer
Explain various attribute selection measures
data mining and business intelligence updated 2.5 years ago by binitamayekar ★ 6.5k
1
vote
1
answer
15k
views
1
answer
Write short notes on :Numerosity reduction.
data mining and business intelligence updated 2.7 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 4.6 years ago by prashantsaini • 0
6
votes
1
answer
11k
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 2.5 years ago by binitamayekar ★ 6.5k
1
vote
1
answer
11k
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 2.7 years ago by sagarkolekar ★ 11k
0
votes
1
answer
11k
views
1
answer
Explain business Intelligence issues?
data mining and business intelligence updated 2.7 years ago by sagarkolekar ★ 11k
4
votes
3.2k
views
4
votes
A: What is noisy data? How to handle it?
updated 8.6 years ago by saylikt280 • 90
4
votes
2.9k
views
4
votes
A: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 3.0 years ago by unnon432 • 20
0
votes
1.8k
views
0
votes
C: Apply the Apriori algorithm with minimum support of 30% and minimum confidence o
updated 2.5 years ago by binitamayekar ★ 6.5k
1
vote
892
views
1
vote
A: What is clustering? Explain k-means clustering algorithm. Suppose the data for C
updated 6.6 years ago by sanketshingote • 100
1
vote
553
views
1
vote
A: Describe the different types of attributes one may come across in a data mining
updated 8.4 years ago by yashbeer ★ 11k
7
votes
466
views
7
votes
A: Explain different methods that can be used to evaluate and compare the accuracy
updated 8.2 years ago by ramnath • 100
4
votes
437
views
4
votes
A: What are the major issues in Data Mining?
updated 8.6 years ago by saylikt280 • 90
0
votes
263
views
0
votes
A: Explain business Intelligence issues?
updated 8.2 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 8.2 years ago by ramnath • 100
1
vote
113
views
1
vote
A: Write short notes on :Numerosity reduction.
updated 8.6 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