Exam 4: Data Mining for Business Intelligence

The simple split methodology splits the data into two mutually exclusive subsets called a ________ set and a ________ set.

Mass, length, time, plane angle, energy, and electric charge are examples of physical measures whose data are represented in interval scales.

Sketch a simple taxonomy of data in data mining.

At the highest level of abstraction, data can be classified as ________ and ________.

The ________ index has been used in economics to measure the diversity of a population. The same concept can be used to determine the purity of a specific class as a result of a decision to branch along a particular attribute or variable.

________ means that discovered patterns in a dataset hold true on new data with a sufficient degree of certainty.

On the commercial side, the most common use of data mining has been in ________ sectors.

________ data represent the labels of multiple classes used to divide a variable into specific groups.

Compared to the other steps in CRISP-DM, data preprocessing consumes the most time and effort; most believe that this step accounts for roughly 80 percent of the total time spent on a data mining project

________ data can be readily represented by some sort of probability distribution.

Data mining is tightly positioned at the intersection of many disciplines. Those disciplines include all of the following except:

________ data, also known as categorical data, contains both nominal and ordinal data.

Data mining is a prime candidate for better management of companies that are data-rich, but knowledge-poor.

A good question to ask with respect to the patterns/relationships that association rule mining can discover is "Are all association rules interesting and useful?" In order to answer such a question, association rule mining uses two common metrics ________ and ________.

________ are essentially a hierarchy of if-then statements. They are most appropriate for categorical and interval data.

Identify and describe the two types of numerical data. Give an example of each.

The data mining environment is usually a client-server architecture or a Web-based information systems architecture.

Because of their ability to model highly complex real-world problems, researchers and practitioners have found many uses for ________.

Technically speaking, data mining is a process that uses statistical, mathematical, and artificial intelligence techniques to extract and identify useful information and subsequent knowledge from large sets of data.

Identify and describe the two types of categorical data. Give an example of each.