Chapter 29 Flashcards
1
Q
What is data mining
A
Get useful data from a very large database. We do not know what we want to know
2
Q
Value of data increases as volume of data decreases by processing. True/False
A
True
3
Q
What are decision trees
A
Take table and make nodes on records. It is divided in to 2 parts.
- Test set
- Training set (Rules are on the base of training set)
4
Q
What is rule induction
A
Training set (Rules are on the base of training set)
5
Q
What is test set
A
Rules from training set are applied on test set
6
Q
What is clustering
A
Grouping of rows
7
Q
What is one way clustering
A
Grouping all rows according to columns
8
Q
What is bi-clustering
A
Clustering of rows and columns independently
9
Q
What is role of genetic algorithm in data mining
A
They give solutions in data mining which are not expected without using them
10
Q
What is not data mining
A
- OLAP
- Data visualization
- Ad hoc query
- Data ware housing
- Software agents
