320+ Data Mining Solved MCQs

301.

The full form of KDD is____________.

A. knowledge database.
B. knowledge discovery in database.
C. knowledge data house.
D. knowledge data definition.
Answer» C. knowledge data house.
302.

Which of the following is not a open source data mining tool.

A. WEKA
B. R
C. RapidMiner
D. KnowledgeMiner
Answer» D. KnowledgeMiner
303.

Removing duplicate records is a process called________.

A. recovery.
B. data cleaning.
C. data cleansing.
D. data pruning.
Answer» B. data cleaning.
304.

The __________ contains information that gives users an easy-to-understand perspective of the information stored in the data warehouse.

A. business metadata.
B. technical metadata.
C. operational metadata.
D. financial metadata.
Answer» A. business metadata.
305.

A/An ___________helps to integrate, maintain and view the contents of the data warehousing system.

A. business directory.
B. information directory.
C. data dictionary.
D. database.
Answer» B. information directory.
306.

Discovery of cross-sales opportunities are called_________.

A. segmentation.
B. visualization.
C. correction.
D. association.
Answer» D. association.
307.

Data marts that incorporate data mining tools to extract sets of data is called______.

A. independent data mart.
B. dependent data marts.
C. intra-entry data mart.
D. inter-entry data mart.
Answer» B. dependent data marts.
308.

Which of the following problems bog down the development of data mining projects

A. Financial problem.
B. Lack of technical assistance.
C. Lack of long-term vision.
D. Legal and privacy restrictions.
Answer» C. Lack of long-term vision.
309.

The ___________can generate programs itself, enabling it to carry out new tasks.

A. automated system.
B. decision making system.
C. self-learning system.
D. productivity system.
Answer» D. productivity system.
310.

The power of self-learning system lies in__________.

A. cost.
B. speed.
C. accuracy.
D. simplicity.
Answer» C. accuracy.
311.

The human brain consists primarily of nerve cells called__________.

A. dendrites.
B. neurons.
C. synapse.
D. perceptron.
Answer» B. neurons.
312.

Which of the following is not a decision tree node?

A. Root node.
B. Internal node.
C. Leaf node.
D. predicted node.
Answer» D. predicted node.
313.

_______ is the closeness of repeated measurements to one another.

A. Precision.
B. Bias.
C. Accuracy.
D. non-scientific.
Answer» A. Precision.
314.

Which of the following matrix consist asymmetric data?

A. Sparse data matrix.
B. Indentity matrix.
C. Confusion matrix.
D. Cross matrix.
Answer» A. Sparse data matrix.
315.

A representation of data objects as columns and attributes as rows is called_________.

A. matrix.
B. data matrix.
C. table.
D. file.
Answer» B. data matrix.
316.

Which of the following is not a data mining attribute?

A. nominal.
B. ordinal.
C. interval.
D. multiple.
Answer» D. multiple.
317.

Patterns of machine-language program are_________.

A. definitive theories.
B. hypothesis.
C. not-definitive theories.
D. quantitative.
Answer» B. hypothesis.
318.

Nominal and ordinal attributes are collectively referred to as_________ attributes.

A. qualitative.
B. perfect.
C. consistent.
D. optimized.
Answer» A. qualitative.
319.

A data set can often be viewed as a collection of ______.

A. data mart.
B. data.
C. data object.
D. template.
Answer» C. data object.
320.

An important element in machine learning is ________.

A. flow.
B. knowledge.
C. observation.
D. language.
Answer» C. observation.
321.

Which of the following is the data mining tool?

A. C.
B. Weka.
C. C++.
D. VB.
Answer» B. Weka.
322.

___________ is used for discrete target variable.

A. Nominal.
B. Classification.
C. Clustering.
D. Association.
Answer» B. Classification.
323.

Data mining is an integral part of _________.

A. SE.
B. DBMS.
C. KDD.
D. OS.
Answer» C. KDD.
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