Exam 5: Data Mining

Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales.

Because of its successful application to retail business problems, association rule mining is commonly called ________.

________ represent the labels of multiple classes used to divide a variable into specific groups, examples of which include race, sex, age group, and educational level.

If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining."

Fayyad et al. (1996) defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.

Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings?

What is the main reason parallel processing is sometimes used for data mining?

Data preparation, the third step in the CRISP-DM data mining process, is more commonly known as ________.

All of the following statements about data mining are true EXCEPT

Knowledge extraction, pattern analysis, data archaeology, information harvesting, pattern searching, and data dredging are all alternative names for ________.

Briefly describe five techniques (or algorithms) that are used for classification modeling.

Patterns have been manually ________ from data by humans for centuries, but the increasing volume of data in modern times has created a need for more automatic approaches.

What does the scalability of a data mining method refer to?

As described in the 2degrees case study, a common problem in the mobile telecommunications industry is defined by the term ________, which means customers leaving.

The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is

Statistics and data mining both look for data sets that are as large as possible.

Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?

The data mining in cancer research case study explains that data mining methods are capable of extracting patterns and ________ hidden deep in large and complex medical databases.

In estimating the accuracy of data mining (or other) classification models, the true positive rate is

Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system.