Data Mining - Type and Quality of Data
Presentation
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Computers
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University
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Medium
Fajar Astuti
Used 2+ times
FREE Resource
40 Slides • 8 Questions
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Multiple Choice
The following statements regarding data are true, except:
A dataset is a collection of objects with their properties or characteristics.
An object or record is described by a set of attributes
The same attribute always has the same attribute value
Attributes are properties of an object
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Time for Quiz
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Multiple Choice
The following attributes are qualitative or categorical attributes, except:
NBI number of UNTAG student
Age in years
Ranks in the military
The flight number of an airline
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Multiple Choice
Density measured in grams per cubic centimeter is an attribute:
nominal
ordinal
ratio
interval
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Multiple Choice
In a transaction dataset, there is a total_transaction attribute in rupiah. The properties of these attributes are as follows:
Categorical, nominal, discrete
Categorical, interval, continuous
Numeric, interval, discrete
Numerical, ratio, continuous
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Time for Quiz
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Multiple Choice
The following datasets are record dataset types, except:
data graph
Matrix data
Transaction data
Document data
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Multiple Choice
Data with the following characteristics is a scourge that will be avoided when we implement the clustering method
high dimension data
high sparsity data
low dimension data
high resolution data
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time for quiz
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Multiple Choice
Data quality problems that arise at the time of data collection are as follows, except:
Noise
Outliers
Missing value
Duplicate data
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Multiple Choice
The following is how to handle missing values, except
estimate the missing value
pay attention to missing values when doing analysis
discard object with missing value
replace with possible values with probability calculations
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