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.