Name
Abstract | ||
|---|---|---|
Data compression plays an important role in data storage and transmission by reducing the amount of data stored or transmitted, thus achieving efficient use of storage and network resources. In this paper, an adaptive word-based pattern matching and text substitution, compression scheme is proposed. First, a dynamic pattern-matching dictionary is created, and then the word patterns of the text are replaced by permutation symbols in the dictionary. The experimental results show that the proposed method achieves an average compression ratio of 0.18 and an average saving percentage of 81.8%. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/IISA.2017.8316446 | 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA) |
Keywords | Field | DocType |
compression,dictionary-based coding,Huffman coding,pattern matching,text substitution | Compression (physics),Resource (disambiguation),Computer science,Computer data storage,Permutation,Algorithm,Compression ratio,Huffman coding,Data compression,Pattern matching | Conference |
ISSN | ISBN | Citations |
2379-3732 | 978-1-5386-3732-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moad Yassin Mowafi | 1 | 9 | 3.26 |
| Dima Kasasbeh | 2 | 0 | 0.34 |
| Faruq A. Al-Omari | 3 | 42 | 5.07 |