Top 350+ Solved Data Mining and Data Warehouse MCQ Questions Answer

From 391 to 399 of 399

Q. 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

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

Q. Enrichment is

a. A stage of the KDD process in which new data is added to the existing selection

b. The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them.

c. The distance between two points as calculated using the Pythagoras theorem.

d. None of these

  • a. A stage of the KDD process in which new data is added to the existing selection

Q. Enumeration is referred to

a. A stage of the KDD process in which new data is added to the existing selection.

b. The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them

c. The distance between two points as calculated using the Pythagoras theorem.

d. None of these

  • b. The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them

Q. Euclidean distance measure is

a. A stage of the KDD process in which new data is added to the existing selection.

b. The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them.

c. The distance between two points as calculated using the Pythagoras theo- rem

d. None of these

  • c. The distance between two points as calculated using the Pythagoras theo- rem

Q. Heuristic is

a. A set of databases from different vendors, possibly using different database paradigms

b. An approach to a problem that is not guaranteed to work but performs well in most cases.

c. Information that is hidden in a database and that cannot be recovered by a simple SQL query.

d. None of these

  • b. An approach to a problem that is not guaranteed to work but performs well in most cases.

Q. Heterogeneous databases referred to

a. A set of databases from different vendors, possibly using different database paradigms

b. An approach to a problem that is not guaranteed to work but performs well in most cases.

c. Information that is hidden in a database and that cannot be recovered by a simple SQL query.

d. None of these

  • a. A set of databases from different vendors, possibly using different database paradigms

Q. Hidden knowledge referred to

a. A set of databases from different vendors, possibly using different database paradigms

b. An approach to a problem that is not guaranteed to work but performs well in most cases.

c. Information that is hidden in a database and that cannot be recovered by a simple SQL query.

d. None of these

  • c. Information that is hidden in a database and that cannot be recovered by a simple SQL query.

Q. Hybrid is

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

  • a. Combining different types of method or information

Q. Evolutionary computation is

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

  • b. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
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