Prediction by partial matching (source code)

= Prediction by partial matching
{wiki=Prediction_by_partial_matching}

Prediction by Partial Matching (PPM) is a statistical method used primarily in the field of data compression and modeling sequences. It is a type of predictive coding that utilizes the context of previously seen data to predict future symbols in a sequence. \#\#\# Key Features of PPM: 1. **Contextual Prediction**: PPM works by maintaining a history of the symbols that have been observed in a data stream.