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Contextual document clustering. / Dobrynin, Vladimir; Patterson, David; Rooney, Niall.

в: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том 2997, 01.12.2004, стр. 167-180.

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Harvard

Dobrynin, V, Patterson, D & Rooney, N 2004, 'Contextual document clustering', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 2997, стр. 167-180.

APA

Dobrynin, V., Patterson, D., & Rooney, N. (2004). Contextual document clustering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2997, 167-180.

Vancouver

Dobrynin V, Patterson D, Rooney N. Contextual document clustering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 Дек. 1;2997:167-180.

Author

Dobrynin, Vladimir ; Patterson, David ; Rooney, Niall. / Contextual document clustering. в: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 ; Том 2997. стр. 167-180.

BibTeX

@article{bdcfb8c0ca9b4a0fbd64552894d76f23,
title = "Contextual document clustering",
abstract = "In this paper we present a novel algorithm for document clustering. This approach is based on distributional clustering where subject related words, which have a narrow context, are identified to form metatags for that subject. These contextual words form the basis for creating thematic clusters of documents. In a similar fashion to other research papers on document clustering, we analyze the quality of this approach with respect to document categorization problems and show it to outperform the information theoretic method of sequential information bottleneck.",
author = "Vladimir Dobrynin and David Patterson and Niall Rooney",
year = "2004",
month = dec,
day = "1",
language = "English",
volume = "2997",
pages = "167--180",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Contextual document clustering

AU - Dobrynin, Vladimir

AU - Patterson, David

AU - Rooney, Niall

PY - 2004/12/1

Y1 - 2004/12/1

N2 - In this paper we present a novel algorithm for document clustering. This approach is based on distributional clustering where subject related words, which have a narrow context, are identified to form metatags for that subject. These contextual words form the basis for creating thematic clusters of documents. In a similar fashion to other research papers on document clustering, we analyze the quality of this approach with respect to document categorization problems and show it to outperform the information theoretic method of sequential information bottleneck.

AB - In this paper we present a novel algorithm for document clustering. This approach is based on distributional clustering where subject related words, which have a narrow context, are identified to form metatags for that subject. These contextual words form the basis for creating thematic clusters of documents. In a similar fashion to other research papers on document clustering, we analyze the quality of this approach with respect to document categorization problems and show it to outperform the information theoretic method of sequential information bottleneck.

UR - http://www.scopus.com/inward/record.url?scp=33646532191&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:33646532191

VL - 2997

SP - 167

EP - 180

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 36369783