data mining & data ware house set 1 Detailed Explanation And More Example

Question : 1

Classification task referred to

a) A subdivision of a set of examples into a number of classes

b) A measure of the accuracy, of the classification of a concept that is given by a certain theory

c) The task of assigning a classification to a set of examples

d) None of these

Question : 2

DB/2 is

a) A family of relational database management systems marketed by IBM

b) Interactive systems that enable decision makers to use databases and models on a computer in order to solve illstructured problems

c) It consists of nodes and branches starting from a single root node. Each node represents a test, or decision.

d) None of these

Question : 3

Background knowledge referred to

a) Additional acquaintance used by a learning algorithm to facilitate the learning process

b) A neural network that makes use of a hidden layer.

c) It is a form of automatic learning.

d) None of these

Question : 4

Unsupervised algorithms

a) It do not need the control of the human operator during their execution.

b) An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.

c) The validation of a theory on the basis of a finite number of examples.

d) None of these

Question : 5

Cache is

a) It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/ output traffic

b) The number of different values that a given attribute can take

c) A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles

d) None of these

Question : 6

Subject orientation

a) The science of collecting, organizing, and applying numerical facts

b) Measure of the probability that a certain hypothesis is incorrect given certain observations.

c) One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)

d) None of these