data mining & data ware house set 2 Detailed Explanation And More Example

Question : 1

Incremental learning referred to

a) Machine-learning involving different techniques

b) The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

c) Learning by generalizing from examples

d) None of these

Question : 2

Case-based learning is

a) A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.

b) Any mechanism employed by a learning system to constrain the search space of a hypothesis.

c) An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.

d) None of these

Question : 3

Statistics

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

Question : 4

Data warehouse is

a) The actual discovery phase of a knowledge discovery process

b) The stage of selecting the right data for a KDD process

c) A subject-oriented integrated timevariant non-volatile collection of data in support of management

d) None of these

Question : 5

DNA (Deoxyribonucleic acid)

a) It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information).

b) The process of executing implicit previously unknown and potentially useful information from dat(A)

c) An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.

d) None of these