Data Mining_Quiz

Which data mining task involves identifying patterns or relationships that occur simultaneously in a dataset?

• Classification

• Clustering

• Association rule mining

• Regression

What is the primary goal of the anomaly detection task in data mining?

• Identifying outliers or unusual patterns in the data

• Grouping similar data points together

• Predicting future values based on historical data

• Classifying data points into predefined categories

In which type of dataset do all instances have the same set of attributes, but the values for those attributes may vary?

• Relational dataset

• Transactional dataset

• Sequential dataset

• Text dataset

Which data mining task involves assigning predefined labels to instances based on their characteristics?

• Clustering

• Association rule mining

• Classification

• Regression

What is a common use case for sequence mining in data mining tasks?

• Identifying frequent itemsets in a dataset

• Analyzing patterns in time-ordered data

• Detecting outliers in a dataset

• Classifying instances into predefined categories

What type of dataset contains instances that are characterized by a set of rules or conditions?

• Nominal dataset

• Graph dataset

• Fuzzy dataset

• Rule-based dataset

Which data mining task involves predicting a continuous value as opposed to a discrete label?

• Classification

• Clustering

• Regression

• Anomaly detection

What is the primary purpose of the dimensionality reduction task in data mining?

• Increasing the number of features in a dataset

• Eliminating irrelevant or redundant features

• Enhancing the interpretability of the data

• Improving the accuracy of classification models

In which type of dataset are instances characterized by a set of transactions, each consisting of a list of items?

• Relational dataset

• Transactional dataset

• Temporal dataset

• Spatial dataset

What is a characteristic of a streaming dataset in the context of data mining?

• Small and static size

• Constantly evolving and dynamic

• Limited variability in attribute values

• Contains only categorical data