dataförminskning
Dataförminskning, often translated as data reduction or data compression, refers to the process of decreasing the amount of data required to represent a given piece of information. This is achieved through various techniques that eliminate redundancy or irrelevancy, making the data more efficient for storage, transmission, or processing. The primary goals of dataförminskning are to save storage space, reduce bandwidth usage, and speed up data transfer times.
There are broadly two categories of dataförminskning: lossless and lossy. Lossless compression techniques, such as Huffman