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ashishravindrasalve

gravatar for ashishravindrasalve
Reputation:
Level 5
Status:
Active

Country:
India  

Last seen:
1 year, 7 months ago
Joined:
6 years, 5 months ago

Profile Strength:
60%
  • 28
    Questions
  • 23
    Answers
  • 90
    Awards
It,Information Technology
Mumbai University (MU)

Top contributions by ashishravindrasalve

22
votes
1
answer
87k
views
1
answer
Explain multidimensional and multilevel association rules with an example.
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
10
votes
1
answer
68k
views
1
answer
Why is Data Preprocessing required? Explain the different steps involved in Data Preprocessing
data mining and business intelligence updated 4.8 years ago by prashantsaini • 0
10
votes
1
answer
67k
views
1
answer
Explain BIRCH algorithm with example
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
14
votes
1
answer
54k
views
1
answer
Explain different visualization techniques that can be used in data mining.
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
1
vote
1
answer
41k
views
1
answer
Partition the given data into 4 bins using Equi-depth binning method and perform smoothing according to the following methods
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
5
votes
1
answer
29k
views
1
answer
Explain Data Mining as a step in KDD. Give the architecture of typical Data Mining system?
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
4
votes
1
answer
26k
views
1
answer
Clearly explain the working of the DB_SCAN algorithm using appropriate diagrams.
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
8
votes
1
answer
25k
views
1
answer
Explain multilevel association rules with suitable examples?
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
11
votes
1
answer
17k
views
1
answer
What is clustering? Explain k-means clustering algorithm.
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
0
votes
1
answer
15k
views
1
answer
What is text mining? Explain different approaches to text mining?
data mining and business intelligence updated 4.5 years ago by prashantsaini • 0
11
votes
4.4k
views
11
votes
A: Describe the different visualization techniques that can be used in data mining?
updated 8.4 years ago by ramnath • 100
18
votes
4.1k
views
18
votes
A: Explain multidimensional and multilevel association rules with an example.
updated 8.7 years ago by sayalibagwe • 100
1
vote
3.7k
views
1
vote
A: Partition the given data into 4 bins using Equi-depth binning method and perform
updated 5.8 years ago by ashishravindrasalve • 890
9
votes
3.4k
views
9
votes
A: Explain BIRCH algorithm with example
updated 8.4 years ago by ramnath • 100
8
votes
1.8k
views
8
votes
A: Why is Data Preprocessing required? Explain the different steps involved in Data
updated 8.4 years ago by ramnath • 100
6
votes
1.5k
views
6
votes
A: Explain multilevel association rules with suitable examples?
updated 8.4 years ago by ramnath • 100
2
votes
1.1k
views
2
votes
A: Explain sequence mining in Transactional databases?
updated 8.4 years ago by ramnath • 100
9
votes
1000
views
9
votes
A: What is clustering? Explain k-means clustering algorithm.
updated 8.4 years ago by ramnath • 100
5
votes
829
views
5
votes
A: Explain Data Mining as a step in KDD. Give the architecture of typical Data Mini
updated 8.4 years ago by ramnath • 100
2
votes
767
views
2
votes
A: What is Outlier? Describe Methods that can be used for outlier analysis?
updated 5.6 years ago by ashishravindrasalve • 890

Latest awards to ashishravindrasalve


asked a question with at least 3 up-votes

created an answer with at least 3 up-votes
Guru × 1

received more than 100 upvotes

created a question with more than 1,000 views

created a question with more than 10,000 views

created an answer that was upvoted at least 5 times

created a question with more than 5,000 views

created a post with more than 5 votes

has been around for a while

received more than 1,000 bookmarks