Introduction to Knowledge Discovery and Data Mining

what is the goal of clustering in data mining?

• To predict future outcomes based on past data.

• To derive models for clinical decision making.

• To partition a data set into groups of similar objects.

• To generate rules from market-basket data.

The objects within the same cluster should have high...?

• Heterogeneity

• Separation

• Homogeneity

• Dimensionality

What term is used to describe the dissimilarity between objects belonging to different clusters?

• Homogeneity

• Separation

• Association

• Classification

Which of the following is mentioned as a common technique in data mining?

• Data cleaning

• Data transformation

• Clustering

• Data selection

What type of learning is clustering considered in data mining?

• Supervised learning

• Reinforcement learning

• Unsupervised learning

• Deep learning

classification aims to do what with a new item of unknown class?

• Summarize its features

• Predict its class

• Reduce its dimensionality

• Find associations with other items

What is the purpose of association rules ?

• To predict a continuous value.

• To group similar data points.

• To generate rules from market-basket data.

• To classify data into predefined categories.

In the context of association rules, what does a "market basket" correspond to?

• A group of similar products in a store.

• The total sales of a supermarket in a day.

• The sets of items a consumer purchases during one visit.

• A collection of customer demographics.

what is the set of items purchased by customers known as?

• A transaction

• A cluster

• An itemset

• A rule

Which of the following is NOT explicitly mentioned as a function of data mining ?

• Summarization

• Regression

• Optimization

• Classification