Exam 12: Introduction to Data Mining

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.

The market share of a business would be considered a lagging measure in the cause-and-effect modeling of data mining.

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

Exemplify the k-Nearest Neighbor algorithm of classification.

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

How is the strength of an association measured?

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

Logistic regression is different from discriminant analysis in that logistic regression ________.

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?

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 rule mining?

Lagging and leading measures in cause-and-effect modeling are uncorrelated.

Which of the following is included in the data mining approach of data exploration and reduction?

Which of the following is true of the lift value in association rule?

Which of the following uses the sum of squares between the objects in the cluster when measuring their distances?

________ 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.

Which of the following formulas calculates the Euclidean distance between X and Y?

The ________ algorithm is a classification scheme that attempts to find records in a database that are similar to one we wish to classify.

Which of the following data sets provides the most realistic estimate of the performance of a model on completely unseen data?

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