attributes types in data mining

In this tutorial, we will learn about Attribute types in data mining.

What is Attribute?

14pt; font-family: arial, helvetica, sans-serif;”>The attribute is the property of the object. The attribute represents different features of the object. 

Example of attribute

Data Attributes types

In this example, RollNo, Name, and Result are attributes of the object named as a student.

RolloNameResult
1AliPass
2AkramFail

Types Of attributes

  • Binary
  • Nominal
  • Numeric
    • Interval-scaled
    • Ratio-scaled

Nominal data with an example:

Nominal data is in alphabetical form and not in an integer.

Example:

AttributeValue
Categorical dataLecturer, Assistant Professor, Professor
StatesNew, Pending, Working, Complete, Finish
ColorsBlack, Brown, White, Red

Binary data with example:

Binary data have only two values/states.

Example:

AttributeValue
HIV detectedYes, No
ResultPass, Fail

The binary attribute is of two types;

  1. Symmetric binary
  2. Asymmetric binary

Symmetric data with example:

Both values are  equally important

Example:

AttributeValue
GenderMale, Female

Asymmetric data with example:

Both values are  not equally important

Example:

AttributeValue
HIV detectedYes, No
ResultPass, Fail

 

Ordinal data:

All Values have a meaningful order. 

Example:

AttributeValue
GradeA, B, C, D, F
BPS- Basic pay scale16, 17, 18

 

Discrete Data with an example:

Discrete data have finite value. It can be in numerical form and can also be in a categorical form.

Example:

AttributeValue
ProfessionTeacher, Bussiness Man, Peon etc
Postal Code42200, 42300 etc

Continuous data with example:

Continuous data technically have an infinite number of steps.

Continuous data is in float type. There can be many numbers in between 1 and 2

Example:

AttributeValue
Height5.4…, 6.5….. etc
Weight50.09….  etc

Next Tutorials with Similar Topics

  1. Type of Data that can be mined – Click Here
  2. Attributes Types – Click Here
  3. Mean, Median, Mode – Click Here
  4. Estimated Mean, Median, Mode – Click Here
  5. Data Quartiles – Click Here
  6. Box Plot for Data – Click Here
  7. Variance and standard deviation of data in data mining – Click Here   Calculator –  Click Here

  8. Data skewness – Click Here
  9. Correlation analysis of numerical data in Data Mining – Click Here
  10. Correlation analysis of Nominal data with Chi-Square Test in Data Mining – Click Here
  11. Data discretization and its techniques in data mining – Click Here
By:Prof. Fazal Rehman Shamil
CEO @ T4Tutorials
Last Modified: April 17, 2020

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