Data discretization and its techniques in data mining

Data discretization and its techniques?

Data discretization converts a large number of data values into smaller once, so that data evaluation and data management becomes very easy.

Example:

we have an attribute age with following values.

Age  10,11,13,14,17,19,30, 31, 32, 38, 40, 42,70 , 72, 73, 75

Table: Before discretization

 

Age  10,11,13,14,17,19,            30, 31, 32, 38, 40, 42,                     70 , 72, 73, 75
             Young                               Mature                                        Old

Table: How to discretization

 

 Age             Young                               Mature                                        Old

Table: After discretization

What are some famous techniques of data discretization?

  1. Histogram analysis
  2. Binning
  3. Correlation analysis
  4. Clustering analysis
  5. Decision tree analysis
  6. Equal width partitioning
  7. Equal depth partitioning
Fazal Rehman Shamil
Welcome to all friends. The reason for our success is only your love for T4Tutorials. Our team is always available to answer your queries regarding any kind of confusions or discussion regarding your study and career matters. For discussion with us please join our facebook group "T4Tutorials.com". The link of the group is mentioned below. Thanks and love to all for connecting with us. We are nothing without you. Love you all.....
https://web.facebook.com/groups/2066136233601097/

Leave a Reply