Position index preserving compression of text data
- Autores
- Akhtar, Nasim; Rashid, Mamunur; Islam, Shafiqul; Kashem, Mohammod Abul; Kolybanov, Cyrll Y.
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Data compression offers an attractive approach to reducing communication cost by using available bandwidth effectively. It also secures data during transmission for its encoded form. In this paper an index based position oriented lossless text compression called PIPC ( Position Index Preserving Compression) is developed. In PIPC the position of the input word is denoted by ASCII code. The basic philosopy of the secure compression is to preprocess the text and transform it into some intermediate file which can be compressed with better efficiency and which exploits the natural redundancy of the languaje in making the transformation. The proposed algorithm compresses the data 35 % to 50 % of its original size depending on occurrence of repeat word
Facultad de Informática - Materia
-
Ciencias Informáticas
Data compaction and compression
index
;IDBE
LIPT
PIPC - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9689
Ver los metadatos del registro completo
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Position index preserving compression of text dataAkhtar, NasimRashid, MamunurIslam, ShafiqulKashem, Mohammod AbulKolybanov, Cyrll Y.Ciencias InformáticasData compaction and compressionindex;IDBELIPTPIPCData compression offers an attractive approach to reducing communication cost by using available bandwidth effectively. It also secures data during transmission for its encoded form. In this paper an index based position oriented lossless text compression called PIPC ( Position Index Preserving Compression) is developed. In PIPC the position of the input word is denoted by ASCII code. The basic philosopy of the secure compression is to preprocess the text and transform it into some intermediate file which can be compressed with better efficiency and which exploits the natural redundancy of the languaje in making the transformation. The proposed algorithm compresses the data 35 % to 50 % of its original size depending on occurrence of repeat wordFacultad de Informática2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf9-14http://sedici.unlp.edu.ar/handle/10915/9689enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr11-2.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:48Zoai:sedici.unlp.edu.ar:10915/9689Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:48.987SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Position index preserving compression of text data |
| title |
Position index preserving compression of text data |
| spellingShingle |
Position index preserving compression of text data Akhtar, Nasim Ciencias Informáticas Data compaction and compression index ;IDBE LIPT PIPC |
| title_short |
Position index preserving compression of text data |
| title_full |
Position index preserving compression of text data |
| title_fullStr |
Position index preserving compression of text data |
| title_full_unstemmed |
Position index preserving compression of text data |
| title_sort |
Position index preserving compression of text data |
| dc.creator.none.fl_str_mv |
Akhtar, Nasim Rashid, Mamunur Islam, Shafiqul Kashem, Mohammod Abul Kolybanov, Cyrll Y. |
| author |
Akhtar, Nasim |
| author_facet |
Akhtar, Nasim Rashid, Mamunur Islam, Shafiqul Kashem, Mohammod Abul Kolybanov, Cyrll Y. |
| author_role |
author |
| author2 |
Rashid, Mamunur Islam, Shafiqul Kashem, Mohammod Abul Kolybanov, Cyrll Y. |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Data compaction and compression index ;IDBE LIPT PIPC |
| topic |
Ciencias Informáticas Data compaction and compression index ;IDBE LIPT PIPC |
| dc.description.none.fl_txt_mv |
Data compression offers an attractive approach to reducing communication cost by using available bandwidth effectively. It also secures data during transmission for its encoded form. In this paper an index based position oriented lossless text compression called PIPC ( Position Index Preserving Compression) is developed. In PIPC the position of the input word is denoted by ASCII code. The basic philosopy of the secure compression is to preprocess the text and transform it into some intermediate file which can be compressed with better efficiency and which exploits the natural redundancy of the languaje in making the transformation. The proposed algorithm compresses the data 35 % to 50 % of its original size depending on occurrence of repeat word Facultad de Informática |
| description |
Data compression offers an attractive approach to reducing communication cost by using available bandwidth effectively. It also secures data during transmission for its encoded form. In this paper an index based position oriented lossless text compression called PIPC ( Position Index Preserving Compression) is developed. In PIPC the position of the input word is denoted by ASCII code. The basic philosopy of the secure compression is to preprocess the text and transform it into some intermediate file which can be compressed with better efficiency and which exploits the natural redundancy of the languaje in making the transformation. The proposed algorithm compresses the data 35 % to 50 % of its original size depending on occurrence of repeat word |
| publishDate |
2011 |
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2011-04 |
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article |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/9689 |
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eng |
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eng |
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