In a transactional database, EVERY transaction includes a transaction identity number.

Data Matrix, Document Data and Transaction Data are examples of which type of data set?

Zip codes and click counts are ____________.

Association technique identifies attributes that occur frequently together in a given data set.

In a k-NN algorithm, similarity of records is based on the closeness of a record to numerical predictors in the other records.

Spam filtering for e-mails is an example of classification approach of data mining

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

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

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

The problem of finding hidden structure in unlabled data is

Task of inferring model from a labeled trained data is

Data mining helps to determine what kind of people buy what kind of products. This belongs to which field?

______ are used in retail sales to identify patterns that are frequently purchased together.

A college professor wishes to reach a certain level of savings before her retirement. This is related to which data mining task?

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.

Data mining is

In cluster analysis, the objects within clusters should exhibit a high amount of dissimilarity.

A grocery store retailer is trying to decide whether to put bread on sale. This is related to which data mining task?

___________ is a data-mining technique used for classifying a set of observations into predefined classes

Text database can be ___________