Discretization

Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information and associating with each interval some specific data value or conceptual labels.

References

  • Data Discretization
    According to Wikipedia, discretization is the process of transferring continuous functions, models, variables, and equations into discrete counterparts. This process is usually carried out as a first…
    🔗Medium
  • What is Data Discretization in Data Mining and its techniques?
    Data discretization is a way of turning a large number of data values into smaller ones, making data interpretation and management easier.
    🔗JanbaskTraining
  • Discretization in data mining - Javatpoint
    Discretization in data mining with What is Data Mining, Techniques, Architecture, History, Tools, Data Mining vs Machine Learning, Social Media Data Mining, KDD Process, etc.
    🔗www.javatpoint.com
  • What is Data Discretization?
    What is Data Discretization - The data discretization techniques can be used to reduce the number of values for a given continuous attribute by dividing the range of the attribute into intervals. Interval labels can be used to restore actual data values. It can be restoring multiple values of a continuous attribute with a small
    🔗tutorialspoint.com