gs gs119 Data Mining Basics - Major Issues in Data Mining - Quiz No.1
gs gs119 Data Science Quiz
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Question 1: There are many ways in which various types of data can be stored. Ex: 0,1 as binary data and names as nominal data. Choose the attribute which is not relevant to store data.
Binary Attributes
Nominal Attributes
Executable Attributes
Ordinal Attributes
Question 2: Which among the given is not among the basic statistical descriptions of data?
Mean
Median
Average
Mode
Question 3: What cannot be done when the basic statistics regarding each attribute and its types are known?
Null values can be filled
Noisy values
Mining the data using various tools
Fixing the inconsistencies
Question 5: Which field of data mining helps in removing uncertainty, noise etc.
Data preprocessing
Outlier detection and removal
Data Mining
Uncertainty Reasoning
Question 6: Which type of mining allows slicing, dicing, pivoting?
Presentation and Visualization
Ad-hoc data mining
Interactive Mining
Incorporation of background knowledge
Question 7: By which parameters are the data sets made up of?
Data Relations
Data Objects
Data Classes
Data Patterns
Question 9: Which among the following is not the name for the data whose values are simply names?
Nominal Attributes
Categorical Attributes
Symmetrical data
Enumerations
Question 10: If the value to the variable is 35 degrees, into which type of attribute can the data be classified?
Nominal Attribute
Binary Attribute
Ordinal Attribute
Numeric Attribute
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Data Mining Basics - What Kind of Data can be Mined - Quiz No.1
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