Data mining for MCA No1

Traditional database differ in data mining by

• Query

• Data

• Output

• All of the above

• None of the above

Data mining algorithms is characterized as three parts

• Model

• Preference

• Search

• All of the above

This model is not a predictive model

• Classification

• Clustering

• Regression

• Time series analysis

Classification is called as

• Supervised learning

• Unsupervised learning

• Segmentation

• Partition

The process of finding useful information in data is

• Data mining

• Data cleaning

• Knowledge Discovery in Database

• Data selection

The model that describe the relationship between input and output through the use of algebraic equations

• Decision Tree Model

• Neural Network Model

• Parametric model

• Non-parametric model

P(h1) is

• Prior probability

• Posterior probability

• Conditional probability

• general probability

______ is generally used to predict future values based on past values

• Regression

• Correlation

• Similarity measures

• None of the above

A Decision tree has ______ root nodes

• 4

• 3

• 2

• 1

___________ are modelled after the workings of the human brain

• Decision tree

• Neural Networks

• Genetic algorithms

• None of the above