A Multi-Group Technique For Data Compression
Summary: Two-level, multi-group Huffman trees exploit locality and subgroup frequencies for reversible, semantic-free variable-length encoding. Outperforms Huffman in compression efficiency and cost; suitable for large commercial files and distributed transfers. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. K. A. Hazboun (Pennsylvania State University)
- 2. M. A. Bassiouni (Pennsylvania State University; University of Central Florida)
BibTeX Citation
@inproceedings{hazboun_sigmod82,
title = {{A MULTI-GROUP TECHNIQUE FOR DATA COMPRESSION}},
author = {Hazboun, K. A. and Bassiouni, M. A.},
series = {{SIGMOD} '82},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/582353.582406},
url = {https://dl.acm.org/doi/10.1145/582353.582406},
year = {1982}
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