Podcast
Questions and Answers
What is one of the major tasks in data preprocessing?
What is one of the major tasks in data preprocessing?
- Model deployment
- Data cleaning (correct)
- Algorithm training
- Data visualization
Which task involves scaling data to a specific range during data preprocessing?
Which task involves scaling data to a specific range during data preprocessing?
- Data reduction
- Data transformation (correct)
- Data discretization
- Data integration
Why might missing data occur in a dataset?
Why might missing data occur in a dataset?
- High importance placed on entering all data
- Perfect data entry by all employees
- Due to consistent recording practices
- Equipment malfunction (correct)
Which preprocessing task aims to reduce the volume of data while maintaining analytical results?
Which preprocessing task aims to reduce the volume of data while maintaining analytical results?
What is a common reason for missing data in sales records according to the text?
What is a common reason for missing data in sales records according to the text?
Which step of data preprocessing involves integrating multiple databases or files?
Which step of data preprocessing involves integrating multiple databases or files?
Which of the following is the most effective way to handle a missing class label in a classification task?
Which of the following is the most effective way to handle a missing class label in a classification task?
What is the definition of noise in the context of data?
What is the definition of noise in the context of data?
Which of the following is not a common cause of incorrect attribute values in data?
Which of the following is not a common cause of incorrect attribute values in data?
What is the purpose of the binning method in handling noisy data?
What is the purpose of the binning method in handling noisy data?
Which of the following is a more sophisticated approach to filling in missing values compared to using a global constant or attribute mean?
Which of the following is a more sophisticated approach to filling in missing values compared to using a global constant or attribute mean?
Which of the following is not a common data quality issue that requires data cleaning?
Which of the following is not a common data quality issue that requires data cleaning?
What is the main purpose of using external references for manual correction in data preprocessing?
What is the main purpose of using external references for manual correction in data preprocessing?
What is the primary goal of data integration?
What is the primary goal of data integration?
What is the entity identification problem in data integration?
What is the entity identification problem in data integration?
Why might attribute values for the same real world entity be different in data integration?
Why might attribute values for the same real world entity be different in data integration?
What is the purpose of resolving data value conflicts in data integration?
What is the purpose of resolving data value conflicts in data integration?
What is the purpose of clustering in data preprocessing?
What is the purpose of clustering in data preprocessing?
Which method divides the range into N intervals of equal size in data discretization?
Which method divides the range into N intervals of equal size in data discretization?
What issue might arise when using equal-width partitioning for discretization?
What issue might arise when using equal-width partitioning for discretization?
Which method involves dividing the range into intervals with approximately the same number of samples?
Which method involves dividing the range into intervals with approximately the same number of samples?
What does smoothing by bin means entail?
What does smoothing by bin means entail?
In what scenario would smoothing by bin boundaries be preferred?
In what scenario would smoothing by bin boundaries be preferred?
What is the primary reason for data preprocessing?
What is the primary reason for data preprocessing?
Which of the following is NOT a key aspect of data quality according to the passage?
Which of the following is NOT a key aspect of data quality according to the passage?
What is the relationship between data quality and mining results according to the passage?
What is the relationship between data quality and mining results according to the passage?
Which of the following is an example of a data quality issue mentioned in the passage?
Which of the following is an example of a data quality issue mentioned in the passage?
What is the primary purpose of a data warehouse according to the passage?
What is the primary purpose of a data warehouse according to the passage?
