Message clusterization method based on archive transformation

Message clusterization method based on archive transformation

<p>This article represents the method of the text’s parameters identification and their classification with the help of archiving. Using the direct bond between the archiving with LZ77 and Huffman algorithm and entropy, the text’s characteristics are identified, and they help to define its lan...

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Bibliographic Details
Main Author: Олексій Олександрович Сірий
Format: Article
Language:English
Published: PC Technology Center 2015-06-01
Series:ScienceRise
Subjects:
archiving
entropy
text recognition
spam
fishing
LZ77
Huffman algorithm
Online Access:http://journals.uran.ua/sciencerise/article/view/44364
id doaj-b57609271155492a80005b3d61311851
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spelling doaj-b57609271155492a80005b3d613118512020-11-25T02:08:40ZengPC Technology CenterScienceRise2313-62862313-84162015-06-0162(11)767910.15587/2313-8416.2015.4436442181Message clusterization method based on archive transformationОлексій Олександрович Сірий0Kyiv National University of Ukraine «Kyiv polytechnic institute» 37 Peremogy ave, Kyiv, Ukraine, 03056<p>This article represents the method of the text’s parameters identification and their classification with the help of archiving. Using the direct bond between the archiving with LZ77 and Huffman algorithm and entropy, the text’s characteristics are identified, and they help to define its language, style, authorship, and cluster data files by their topic relevance</p>http://journals.uran.ua/sciencerise/article/view/44364archivingentropytext recognitionspamfishingLZ77Huffman algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Олексій Олександрович Сірий
spellingShingle Олексій Олександрович Сірий
Message clusterization method based on archive transformation
ScienceRise
archiving
entropy
text recognition
spam
fishing
LZ77
Huffman algorithm
author_facet Олексій Олександрович Сірий
author_sort Олексій Олександрович Сірий
title Message clusterization method based on archive transformation
title_short Message clusterization method based on archive transformation
title_full Message clusterization method based on archive transformation
title_fullStr Message clusterization method based on archive transformation
title_full_unstemmed Message clusterization method based on archive transformation
title_sort message clusterization method based on archive transformation
publisher PC Technology Center
series ScienceRise
issn 2313-6286
2313-8416
publishDate 2015-06-01
description <p>This article represents the method of the text’s parameters identification and their classification with the help of archiving. Using the direct bond between the archiving with LZ77 and Huffman algorithm and entropy, the text’s characteristics are identified, and they help to define its language, style, authorship, and cluster data files by their topic relevance</p>
topic archiving
entropy
text recognition
spam
fishing
LZ77
Huffman algorithm
url http://journals.uran.ua/sciencerise/article/view/44364
work_keys_str_mv AT oleksíjoleksandrovičsírij messageclusterizationmethodbasedonarchivetransformation
_version_ 1724926229974351872

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