Top 350+ Solved Data Mining and Data Warehouse MCQ Questions Answer
Q. Classification is
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
Q. Classification accuracy is
a. A subdivision of a set of examples into a number of classes
b. 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
Q. Cluster is
a. Group of similar objects that differ significantly from other objects
b. Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
c. Symbolic representation of facts or ideas from which information can potentially be extracted
d. None of these
Q. Expert systems
a. Combining different types of method or information
b. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
c. Decision support systems that contain an Information base filled with the knowledge of an expert formulated in terms of if-then rules
d. None of these
Q. Extendible architecture is
a. Modular design of a software application that facilitates the integration of new modules
b. Showing a universal law or rule to be invalid by providing a counter example
c. A set of attributes in a database table that refers to data in another table
d. None of these
Q. Falsification is
a. Modular design of a software application that facilitates the integration of new modules
b. Showing a universal law or rule to be invalid by providing a counter example
c. A set of attributes in a database table that refers to data in another table
d. None of these
Q. Foreign key is
a. Modular design of a software application that facilitates the integration of new modules
b. Showing a universal law or rule to be invalid by providing a counter example
c. A set of attributes in a database table that refers to data in another table
d. None of these
Q. Hybrid learning is
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
Q. 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
Q. Information content is
a. The amount of information with in data as opposed to the amount of redundancy or noise
b. One of the defining aspects of a data warehouse
c. Restriction that requires data in one column of a database table to the a sub- set of another-column.
d. None of these
Q. Inclusion dependencies
a. The amount of information with in data as opposed to the amount of redundancy or noise
b. One of the defining aspects of a data warehouse
c. Restriction that requires data in one column of a database table to the a sub- set of another-column
d. None of these
Q. KDD (Knowledge Discovery in Databases) is referred to
a. Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A)
b. Set of columns in a database table that can be used to identify each record within this table uniquely.
c. collection of interesting and useful patterns in a database
d. none of these
Q. Key is referred to
a. Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A)
b. Set of columns in a database table that can be used to identify each record within this table uniquely
c. collection of interesting and useful patterns in a database
d. none of these
Q. Inductive learning is
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
Q. Integrated is
a. The amount of information with in data as opposed to the amount of redundancy or noise
b. One of the defining aspects of a data warehouse
c. Restriction that requires data in one column of a database table to the a sub- set of another-column.
d. None of these