Podcast
Questions and Answers
Which of the following is a key concept in clustering?
Which of the following is a key concept in clustering?
- Partitioning clustering
- Internal Index
- Node Purity (correct)
- Learning by example
What is the main purpose of a star schema in the context of a data warehouse?
What is the main purpose of a star schema in the context of a data warehouse?
- Decision tree
- Sum of Squared Error
- OLAP operations
- Conceptual model of data warehouse (correct)
What type of clustering involves merging similar data points into a single cluster?
What type of clustering involves merging similar data points into a single cluster?
- Agglomerative clustering (correct)
- Distance calculation
- Classification
- K-means clustering
What is a subset of a data warehouse that is focused on a specific area within an organization?
What is a subset of a data warehouse that is focused on a specific area within an organization?
Which technique involves learning by observing patterns in data examples?
Which technique involves learning by observing patterns in data examples?
In the context of clustering, what is used to measure the compactness of clusters?
In the context of clustering, what is used to measure the compactness of clusters?
What is the term for predicting test examples using irrelevant training records due to an insufficient number of training records?
What is the term for predicting test examples using irrelevant training records due to an insufficient number of training records?
Is it always true that an increase in accuracy is associated with a decrease in cost?
Is it always true that an increase in accuracy is associated with a decrease in cost?
What is the key concept of Clustering in less than three words?
What is the key concept of Clustering in less than three words?
Which evaluation/validation method is commonly used in Data Mining?
Which evaluation/validation method is commonly used in Data Mining?
How many If….Then rules can be generated from a Decision Tree?
How many If….Then rules can be generated from a Decision Tree?
In a Decision Tree, how many classes are represented?
In a Decision Tree, how many classes are represented?
