Exam 11: Data Mining and Data Visualization

The clustering approach to data mining is useful when there is a need to create partitions in order to discover patterns in the data.

The central table in a star schema is a dimension table.

Which of the following is not a data mining technology?

Which term is used to refer to a basic database operation that links rows of two or more tables by one or more columns in each table?

Which of the following is not considered one of the four major categories of processing algorithms and rule approaches?

Data mining is a set of activities used to find new, hidden, or unexpected patterns in data.

Data mining methods can be classified in two ways: by the function they perform or by their class of application.

Which of the following is not true of data mining?

ROLAP organizes and analyzes data as an n-dimensional cube. The ROLAP cube can be conceptually thought of as a common spreadsheet with two extensions: (1) support for multiple dimensions and (2) support for multiple concurrent users.

The process by which numerical data is converted into meaningful images is referred to as:

____________organizes and analyzes data as an n-dimensional cube. The cube can be thought of as a common spreadsheet with two extensions: (1) support for multiple dimensions and (2) support for multiple concurrent users.

The term _________ has been generally agreed to represent the broad category of software technology that enables decision makers to conduct multidimensional analysis of consolidated enterprise data.

MOLAP is well-suited to handle large numbers of detailed data.

In a ________________, the data are stored as a multidimensional array where each cell in the array represents the intersection of all of the dimensions. Using this approach, any number of dimensions may be analyzed simultaneously and any number of multidimensional views of the data can be created.

The broad category of software decision-making technology that enables multidimensional analysis is referred to as OLAP.

The classification approach to data mining searches all details or transactions from operational systems for patterns with a high probability of repetition.

___________________ methods are used to relate events in time, such as the prediction of interest rate fluctuations or stock performance, based on a series of preceding events. Through this analysis, various hidden trends can be discovered that are often highly predictive of future events.

Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?

The association approach to data mining is intended to discover rules that define whether an item or event belongs to a particular subset of data.