Data Preparation (DP)

Data Preparation (DP)

1. What?

   • 1. Combining data from different sources into a standard dataset suitable for mining.
   • 2. It also derive high quality data sample which leads to good mining results.

2. 3 main aspects

   • 1. Data cleaning (DC)
     • Identifies and removes data anomalies and inconsistencies
   • 2. Data transformation (DT)
     • Converts data into a form that is appropriate for the data mining techniques
   • 3. Data reduction (DR)
     • Enables the analyst to obtain a smaller dataset which is almost as informative as the original dataset