Výsledky vyhledávání - "Unstructured Information"

Akademický článek

Research of unstructured data interpretation problems

Autor: V. S. Tomashevskaya, D. A. Yakovlev

Publikováno v: Российский технологический журнал, Vol 9, Iss 1, Pp 7-17 (2021)

The term «unstructured data» means data that is unordered and arbitrary in shape. However, this type of information has a certain structure. Today there is a wide variety of data and, as a result, it is necessary to interpret them. Interpretation t

Externí odkaz: https://doaj.org/article/3803a3dcc9514d178d20dc2ab2b59019

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Akademický článek

Research on massive information query and intelligent analysis method in a complex large-scale system

Autor: Dailin Wang, Yunlei Lv, Danting Ren, Linhui Li

Publikováno v: Mathematical Biosciences and Engineering, Vol 16, Iss 4, Pp 2906-2926 (2019)

With the rapid growth of big data and network information, it is particularly important to perform information query and intelligent analysis on unstructured massive data in large-scale complex systems. The existing methods of directly collating, sor

Externí odkaz: https://doaj.org/article/94cce60477a8465ebde54e9f646d0a05

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Dissertation/ Thesis

Desambiguação lexical de revisões de itens aplicada em sistemas de recomendação

Autor: Marinho, Ronnie Shida

Com o intuito de auxiliar usuários na procura por produtos relevantes, sistemas Web integraram módulos de recomendação de itens, que selecionam automaticamente conteúdo de acordo com os interesses de cada indivíduo. Apesar de existirem diversas

Externí odkaz: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23102018-172800/

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Akademický článek

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Dissertation/ Thesis

Filtragem baseada em conteúdo auxiliada por métodos de indexação colaborativa

Autor: D\'Addio, Rafael Martins

Sistemas de recomendação surgiram da necessidade de selecionar e apresentar conteúdo relevante a usuários de acordo com suas preferências. Dentre os diversos métodos existentes, aqueles baseados em conteúdo faz em uso exclusivo da informação

Externí odkaz: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26112015-144141/

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The KnowledgeStore

Autor: Francesco Corcoglioniti, Marco Rospocher, Roldano Cattoni, Bernardo Magnini, Luciano Serafini

Although the quantity of structured information on the Web and within organizations is increasing, the majority of information remains available only in unstructured form. While different in form, both unstructured and structured information sources

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7912c1df3a95a32b220f2eefd1f16ddf
https://doi.org/10.4018/978-1-5225-5191-1.ch030

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Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore

Autor: Marco Rospocher, Roldano Cattoni, Francesco Corcoglioniti, Luciano Serafini, Bernardo Magnini

This chapter describes the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded open-source storage system to jointly store, manage, retrieve, and query interlinked structured and unstructured data, especially designed to manage all

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c77207ee7dbcd3600f08e3e02309accf
https://hdl.handle.net/11562/990120

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Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques

Autor: Israel Griol-Barres, José Millet, Sergio Milla

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] At present, one of the greatest threats to companies is not being able to cope with the constant changes that occur in the market because they do not predict them well in advance. Therefore, the development of new processes that facilitate the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313fafc7230ab6dbbbd79e9884f86ff6
https://hdl.handle.net/10251/147520

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System implementation for detection of future weak signals using text mining

Autor: Griol-Barres, Israel, Milla, Sergio, Millet, José

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Revista Española de Documentación Científica, Vol 42, Iss 2, Pp e234-e234 (2019)
Revista Española de Documentación Científica; Vol. 42 No. 2 (2019); e234
Revista Española de Documentación Científica; Vol. 42 Núm. 2 (2019); e234
Revista española de Documentación Científica
Consejo Superior de Investigaciones Científicas (CSIC)

[EN] Nowadays, one of the biggest threats for companies is not being able to cope with the constant changes occurring in the market by not predicting them well in advance. For this reason, the development of new processes that facilitate the detectio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ef9239bac362c45c028f262bead8848
http://hdl.handle.net/10251/159978

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Descoberta de conhecimento a partir de informações não estruturadas por meio de técnicas de correlação e associação

Autor: Marina Carradore Sérgio, Thales do Nascimento da Silva, Alexandre Leopoldo Gonçalves

Publikováno v: Em Questão, Vol 22, Iss 2, Pp 87-113 (2016)
Em Questão; v.22, n.2, mai/ago. 2016; 87-113

O atual momento da tecnologia vem promovendo meios para o aumento exponencial no volume de informações disponíveis na internet ou em organizações. Considerando que grande parte desta informação encontra-se em formato textual, este fato represe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6caad498930f8255f47cd54d81a605a5
https://doi.org/10.19132/1808-5245222.87-113

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