DWH&BI Internal Assessment

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Discriminating between spam and ham e-mails is a classification task, true or false?

True

False

Clear selection

which of the following is not involved in data mining?

Knowledge extraction

Data archaeology

Data exploration

Data transformation

Clear selection

Which is the right approach of Data Mining?

Infrastructure, exploration, analysis, interpretation, exploitation

Infrastructure, exploration, analysis, exploitation, interpretation

Infrastructure, analysis, exploration, interpretation, exploitation

Infrastructure, analysis, exploration, exploitation, interpretation

Clear selection

Bayesian classifiers is

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

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

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

None of these

Clear selection

Classification is

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

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

The task of assigning a classification to a set of examples

None of these

Clear selection

Binary attribute are

This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit

The natural environment of a certain species

Systems that can be used without knowledge of internal operations

None of these

Clear selection

Classification accuracy is

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

Measure of the accuracy, of the classification of a concept that is given by a certain theory

The task of assigning a classification to a set of examples

None of these

Clear selection

Cluster is

Group of similar objects that differ significantly from other objects

Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm

Symbolic representation of facts or ideas from which information can potentially be extracted

None of these

Clear selection

Data mining is

The actual discovery phase of a knowledge discovery process

The stage of selecting the right data for a KDD process

A subject-oriented integrated time variant non-volatile collection of data in support of management

None of these

Clear selection

A definition or a concept is if it classifies any examples as coming within the concept

Complete

Consistent

Constant

None of these

Clear selection

Key to represent relationship between tables is called

Primary key

Secondary Key

Foreign Key

None of these

Clear selection

__________ produces the relation that has attributes of Ri and R2

Cartesian product

Difference

Intersection

Product

Clear selection

Statistical significance is

The science of collecting, organizing, and applying numerical facts

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

One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational data

None of these

Clear selection

Prediction is

The result of the application of a theory or a rule in a specific case

One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table.

Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces

None of these

Clear selection

What is Datawarehousing?

What is Business Intelligence?

What is OLAP?

What is ETL?

What is Datamart?

What is Metadata?

Student ID

Student Name

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