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Graph-theoretic techniques for web content mining

This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.

Detalles Bibliográficos
Autores principales: Schenker, Adam, Kandel, Abraham, Bunke, Horst, Last, Mark
Lenguaje:eng
Publicado: World Scientific 2005
Materias:
Acceso en línea:http://cds.cern.ch/record/1991330
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author Schenker, Adam
Kandel, Abraham
Bunke, Horst
Last, Mark
author_facet Schenker, Adam
Kandel, Abraham
Bunke, Horst
Last, Mark
author_sort Schenker, Adam
collection CERN
description This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.
id cern-1991330
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
publisher World Scientific
record_format invenio
spelling cern-19913302021-04-21T20:28:44Zhttp://cds.cern.ch/record/1991330engSchenker, AdamKandel, AbrahamBunke, HorstLast, MarkGraph-theoretic techniques for web content miningMathematical Physics and MathematicsThis book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.World Scientificoai:cds.cern.ch:19913302005
spellingShingle Mathematical Physics and Mathematics
Schenker, Adam
Kandel, Abraham
Bunke, Horst
Last, Mark
Graph-theoretic techniques for web content mining
title Graph-theoretic techniques for web content mining
title_full Graph-theoretic techniques for web content mining
title_fullStr Graph-theoretic techniques for web content mining
title_full_unstemmed Graph-theoretic techniques for web content mining
title_short Graph-theoretic techniques for web content mining
title_sort graph-theoretic techniques for web content mining
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1991330
work_keys_str_mv AT schenkeradam graphtheoretictechniquesforwebcontentmining
AT kandelabraham graphtheoretictechniquesforwebcontentmining
AT bunkehorst graphtheoretictechniquesforwebcontentmining
AT lastmark graphtheoretictechniquesforwebcontentmining