Ask
Login
TAGGED IN

Data Warehouse And Mining

Follow this tag to get notifications whenever a new post is added

ALL TAGS
0
votes
1
answer
4.2k
views
1
answer
Find all frequent itemset using apriori algorithm. Assume minimum support = 40%
data warehouse and mining updated 3.7 years ago by teamques10 ★ 70k
0
votes
0
answers
908
views
0
answers
(Duplicate) Write a short note on Operational V/s Decision support system
data warehouse and mining updated 3.8 years ago by binitamayekar ★ 6.7k
0
votes
1
answer
3.1k
views
1
answer
What are the benefits of Data Warehouse. Explain its features
data warehouse and mining updated 3.8 years ago by sagarkolekar ★ 11k
0
votes
1
answer
1.9k
views
1
answer
Define the term Data warehouse
data warehouse and mining updated 3.8 years ago by sagarkolekar ★ 11k
0
votes
1
answer
1.3k
views
1
answer
Write a short note on Keys in Data Warehouse
data warehouse and mining updated 3.8 years ago by sagarkolekar ★ 11k
0
votes
1
answer
2.6k
views
1
answer
Write a short note on Meta data in Data Warehouse
data warehouse and mining updated 3.8 years ago by sagarkolekar ★ 11k
0
votes
1
answer
1.4k
views
1
answer
Write a short note on Random Forests
data warehouse and mining updated 3.8 years ago by sagarkolekar ★ 11k
0
votes
1
answer
1.1k
views
1
answer
Write a short note on Boosting
data warehouse and mining updated 3.8 years ago by sagarkolekar ★ 11k
0
votes
1
answer
1.8k
views
1
answer
Write a short note on Bagging
data warehouse and mining updated 3.8 years ago by Krishna_Agrawal • 2.7k
0
votes
1
answer
3.6k
views
1
answer
Perform K-means clustering on the given data where K=2. {(1,2), (2,3), (3,4), (4,5), (5,6)}
data warehouse and mining updated 3.8 years ago by binitamayekar ★ 6.7k
1
vote
1
answer
2.0k
views
1
answer
What is clustering technique?
data warehouse and mining updated 3.8 years ago by binitamayekar ★ 6.7k
3
votes
1
answer
6.2k
views
1
answer
Explain K-means Clustering algorithm and create 4 clusters for the following dataset. (2, 5), (2.5, 3), (3.5, 4), (5, 7.9), (8, 11.3), (11, 12), (12, 19), (13, 5), (7, 3), (11, 7), (15,15.1), (1, 2),
data warehouse and mining updated 3.8 years ago by binitamayekar ★ 6.7k
0
votes
1
answer
683
views
1
answer
Correlation and regression
data warehouse and mining updated 3.8 years ago by Krishna_Agrawal • 2.7k
0
votes
1
answer
5.3k
views
1
answer
List and describe five primitives for specifying data mining task.
data warehouse and mining updated 3.8 years ago by Sharad • 160
1
vote
1
answer
1.9k
views
1
answer
Discuss the steps of ETL Process
data warehouse and mining updated 3.8 years ago by Sharad • 160
0
votes
1
answer
2.0k
views
1
answer
Define linear, non-linear and multiple regressions. Plan a regression model for Disease development with respect to change in weather parameters
data warehouse and mining data mining and business intelligence updated 3.8 years ago by Sharad • 160
0
votes
1
answer
3.3k
views
1
answer
Write difference between OLTP and OLAP.
data warehouse and mining updated 3.8 years ago by DevarenjiniP • 3.2k
2
votes
1
answer
8.8k
views
1
answer
Differentiate Data Warehouse Vs Data Mart
data warehouse and mining updated 3.8 years ago by pedsangini276 • 4.8k
3
votes
1
answer
5.8k
views
1
answer
Discuss various OLAP Models
data warehouse and mining updated 3.8 years ago by pedsangini276 • 4.8k
5
votes
1
answer
11k
views
1
answer
Why is naive Bayes classification called naive? Briefly outline the major ideas of naive Bayes classification.
data warehouse and mining updated 3.8 years ago by pedsangini276 • 4.8k
5
votes
1
answer
3.7k
views
1
answer
Write a short note on Statistical Description of data
data warehouse and mining updated 3.9 years ago by DevarenjiniP • 3.2k
2
votes
1
answer
5.0k
views
1
answer
Apply desision tree algorithm and show the generated rules.
data warehouse and mining updated 3.9 years ago by binitamayekar ★ 6.7k
2
votes
1
answer
1.9k
views
1
answer
Information requirements are recorded for Hotel occupancy considering dimensions like Hotel, Room and Time.
data warehouse and mining updated 4.0 years ago by teamques10 ★ 70k
1
vote
1
answer
2.4k
views
1
answer
Define Classification. Discuss the issues in Classification.
data warehouse and mining updated 4.0 years ago by teamques10 ★ 70k
8
votes
1
answer
7.8k
views
1
answer
Apply the Naive Bayes classifier algorithm to classify an unknown sample X (outlook = sunny, temperature = cool, humidity = high, windy = false ) The sample data set is as follows:
data warehouse and mining updated 4.1 years ago by teamques10 ★ 70k
<prev • 183 results • page 3 of 8 • next >