5 Questions
What types of values does each attribute have?
Discrete or continuous-valued
What is an attribute in the context of data?
A data field representing a characteristic of a data object
How are attributes commonly referred to in the context of data mining and database professionals?
Attribute
What is the first major task of the data mining process?
Data preprocessing
What does a collection of data objects and their attributes constitute?
Objects and their attributes
Study Notes
Data Mining and Attributes
- An attribute, in the context of data, is a single characteristic or feature of an object or an individual, such as their age, name, or address.
Types of Attribute Values
- Attributes can have different types of values, including:
- Categorical (nominal, ordinal, or binary)
- Numerical (integer, real, or interval)
- String (alphabetical or text-based)
Referring to Attributes
- In the context of data mining and database professionals, attributes are commonly referred to as:
- Features
- Variables
- Fields
- Columns
Data Mining Process
- The first major task of the data mining process is:
- Problem formulation and understanding the objectives of the data mining task
Data Collection
- A collection of data objects and their attributes constitutes a:
- Dataset or a data table
Test your knowledge about understanding and preprocessing real-world data. Learn about the types of attributes, values, and discrete versus continuous attributes.
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