CSC 240 Quiz 1 (1)
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School
University of Rochester *
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Course
240
Subject
Information Systems
Date
Apr 3, 2024
Type
Pages
8
Uploaded by BaronLightningKookabura16
What is the difference between classification and regression?
The former refers to a comparison of the general features of target class data objects with the
general features of objects from one or a set of contrasting
classes, while the latter is the process of finding a set of models (or functions) that describe
and distinguish data classes or concepts for the purpose of being able to use the model to
predict the class of objects whose class label is unknown.
The former refers to a summarization of the general characteristics or features of a target class
of data while the latter deals with the analysis of data objects without consulting a known class
label.
The former predicts categorical (discrete, unordered) labels while the latter predicts missing or
unavailable, and often numerical, data values.
There is no difference, these concepts are synonymous.
Confirmatory data analysis is sometimes called inferential statistics
True
False
DBMS stands for
Data Before Millenial Systems
Data Base Masters of Science
Direct Biometric Manipulation Switch
Database Management System
4. Transactional data is most typically represented using
A string
A hash table
A list
A graph
What is the difference between discrimination and classification?
The former refers to a comparison of the general features of target class data objects with the
general features of objects from one or a set of contrasting
classes, while the latter is the process of finding a set of models (or functions) that describe
and distinguish data classes or concepts for the purpose of being able to use the model to
predict the class of objects whose class label is unknown.
The former refers to a summarization of the general characteristics or features of a target class
of data while the latter deals with the analysis of data objects without consulting a known class
label.
The former predicts categorical (discrete, unordered) labels while the latter predicts missing or
unavailable, and often numerical, data values.
There is no difference, these concepts are synonymous.
Regression, unlike classification, is a process to model continuous-valued functions.
True
False
Who is the mother of invention?
Genius
Education
Necessity
Investment
Which of the following is NOT typically considered a step in the iterative knowledge discovery process?
Data cleaning
Data integration
Data funding
Data selection
Data transformation
Data mining
Pattern evaluation
Knowledge presentation
In data mining, outliers are considered to be uninteresting noise that need to be removed during the data
cleaning step.
True
False
BI stands for
Binary Integration
Biological Inception
Business intelligence
Biased Inference
What is the difference between characterization and clustering?
The former refers to a comparison of the general features of target class data objects with the
general features of objects from one or a set of contrasting
classes, while the latter is the process of finding a set of models (or functions) that describe
and distinguish data classes or concepts for the purpose of being able to use the model to
predict the class of objects whose class label is unknown.
The former refers to a summarization of the general characteristics or features of a target class
of data while the latter deals with the analysis of data objects without consulting a known class
label.
The former predicts categorical (discrete, unordered) labels while the latter predicts missing or
unavailable, and often numerical, data values.
There is no difference, these concepts are synonymous.
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