Exam 10: Introduction to Data Mining

Which of the following features of classification, used in Excel, for a particular database will necessarily be coded to a certain value?

is a collection of techniques that seek to group or segment a collection of objects or observations into subsets, such that those within each subset are more closely related to one another than objects assigned to different subsets.

Divisive clustering method is different from agglomerative clustering methods in that divisive clustering methods .

Sendstars is a package delivering company that recently made a study on its customer retention and service renewal metrics. They found that most customers defected from using Sendstars' services due to customer dissatisfaction stemming from delivery personnel being rude or ill-mannered. To curb this issue, Sendstars gave special training to its employees in customer service. Which of the following data mining approaches did Sendstars employ when they decided to train their employees in customer care based on the study?

Which of the following would be considered a lagging measure in a restaurant using the cause-and-modeling method of data mining?

Which of the following is true of cluster analysis?

In the cause-and-effect modeling, internal metrics, such as employee satisfaction, productivity, and turnover are considered to be measures.

Which of the following is true of Association?

In a k-Nearest Neighbors algorithm, similarity of records is based on the .

U-botit.com is an electronic commerce company that sells music online. It keeps a tab of what genre of music their registered customers buy. If u-botit.com were to use the data mining approach of association, which of the following actions would it take?

The effectiveness of a classification rule can be judged making a probability of misclassification errors and summarizing the results in a .

In association analysis, the antecedent and consequent are sets of items that do not have any items in common.

Which of the following is the first stage of joining clusters in agglomerative hierarchical clustering?

Which of the following typically describes the support for the association rule?

The data mining approach called involves the developing of analytic models to describe the relationship between metrics that drive business performance like profitability, customer satisfaction, or employee satisfaction.

In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.

In the method, the distance between groups is defined as the distance between the closest pair of objects, where only pairs consisting of one object from each group are considered.

Which of the following is true of logistic regression as a classifying method?

Exemplify the k-Nearest Neighbor algorithm of classification.

If the Euclidean distance were to be represented in a right triangle, which of the following would be considered the distance between two objects of a cluster?