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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
30/10/2003 |
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Data da última atualização: |
17/01/2020 |
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Autoria: |
OLIVEIRA, S. R. de M.; ZAÏANE, O. R. |
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Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAIANE, University of Alberta. |
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Título: |
Foundations for an acess control model for privacy preservation in multi-relational association rule mining. |
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Ano de publicação: |
2002 |
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Fonte/Imprenta: |
In: IEEE ICDM WORKSHOP ON PRIVACY, SECURITY AND DATA MINING, 2002, Maebashi, Japan. Proceedings... Australia: Australian Computer Society, 2002. p.19-54 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Stanley R. M.Oliveira. PSDM 2002. |
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Conteúdo: |
Recent data mining algorithms have been designed for application domains that involve several types of objects stored in multiple relations in relational databases. This fact has motivated the increasing number of successful applications of relational data mining over recent years. On the other hand, such applications have introduced a new threat to privacy and information security since from non-sensitive data one is able to infer sensitive information, including personal information, facts or even patterns that are not supposed to be disclosed. The existing access control models adopted to successfully manage the access of information in complex systems present some limitations in the context of data mining tasks. The main reason is that such models were designed to protect the access to explicit data (e.g. tables, attributes, views, etc), whereas data mining tasks deal with the discovery of implicit data (e.g. patterns). In this paper, we take a first step toward an access control model for ensuring privacy in relational data mining, notably in multi-relational association rules (MRAR). In this model, users associated with dfferent mining access levels, even using the same algorithm, are allowed to mine different sets of association rules. We provide the groundwork to build our access control model over existing technologies and discuss some directions for future work. |
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Palavras-Chave: |
Access control; Controle de acesso; Data mining; Mineração de dados; Mining access control; Privacidade; Privacy preserving data mining; Segurança. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02263nam a2200229 a 4500
001 1008542
005 2020-01-17
008 2002 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, S. R. de M.
245 $aFoundations for an acess control model for privacy preservation in multi-relational association rule mining.$h[electronic resource]
260 $aIn: IEEE ICDM WORKSHOP ON PRIVACY, SECURITY AND DATA MINING, 2002, Maebashi, Japan. Proceedings... Australia: Australian Computer Society, 2002. p.19-54$c2002
500 $aNa publicação: Stanley R. M.Oliveira. PSDM 2002.
520 $aRecent data mining algorithms have been designed for application domains that involve several types of objects stored in multiple relations in relational databases. This fact has motivated the increasing number of successful applications of relational data mining over recent years. On the other hand, such applications have introduced a new threat to privacy and information security since from non-sensitive data one is able to infer sensitive information, including personal information, facts or even patterns that are not supposed to be disclosed. The existing access control models adopted to successfully manage the access of information in complex systems present some limitations in the context of data mining tasks. The main reason is that such models were designed to protect the access to explicit data (e.g. tables, attributes, views, etc), whereas data mining tasks deal with the discovery of implicit data (e.g. patterns). In this paper, we take a first step toward an access control model for ensuring privacy in relational data mining, notably in multi-relational association rules (MRAR). In this model, users associated with dfferent mining access levels, even using the same algorithm, are allowed to mine different sets of association rules. We provide the groundwork to build our access control model over existing technologies and discuss some directions for future work.
653 $aAccess control
653 $aControle de acesso
653 $aData mining
653 $aMineração de dados
653 $aMining access control
653 $aPrivacidade
653 $aPrivacy preserving data mining
653 $aSegurança
700 1 $aZAÏANE, O. R.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
30/04/2024 |
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Data da última atualização: |
30/04/2024 |
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Tipo da produção científica: |
Nota Técnica/Nota Científica |
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Autoria: |
SANTOS, R. S.; LIMA, E. F. B. |
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Afiliação: |
RODRIGO SOUZA SANTOS, CPAF-AC; ÉLISON FABRÍCIO BEZERRA LIMA, UNIVERSIDADE FEDERAL DO PIAUÍ. |
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Título: |
First record of Caliothrips phaseoli (Hood, 1912) (Thysanoptera: Thripidae) on Arachis spp. (Fabaceae) in Brazil. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Revista Colombiana de Entomología, v. 50, n. 1, e13135, 2024. |
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ISSN: |
0120-0488 (print) / 2665-4385 (online) |
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DOI: |
https://doi.org/10.25100/socolen.v50i1.13135 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this work was to establish the first record of Caliothrips phaseoli (Hood, 1912) (Thysanoptera: Thripidae); in forage peanut accessions in the state of Acre, Brazil. The specimens were collected directly from the leaves of infested plants grown in pots and under greenhouse conditions, preserved in 70 % ethyl alcohol, and mounted on slides to later be observed under a microscope. Caliothrips phaseoli is a polyphagous species considered an important pest in bean and soybean crops in Brazil. The insect feeds on forage peanuts causes chlorosis on the leaves and delays the development of infested plants, although no mortality was verified. |
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Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Amendoim forrageiro; Cacahuetes forrajeros; First record; Forage peanut; Leguminosas forrajeras; Plagas de plantas; Primeiro registro; Primer registro; Western Amazon. |
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Thesagro: |
Caliothrips Phaseoli; Leguminosa Forrageira; Praga de Planta; Tripes. |
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Thesaurus NAL: |
Arachis; Forage legumes; Plant pests; Thrips (Thripidae). |
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Categoria do assunto: |
O Insetos e Entomologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1164035/1/27766.pdf
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Marc: |
LEADER 01877naa a2200397 a 4500
001 2164035
005 2024-04-30
008 2024 bl uuuu u00u1 u #d
022 $a0120-0488 (print) / 2665-4385 (online)
024 7 $ahttps://doi.org/10.25100/socolen.v50i1.13135$2DOI
100 1 $aSANTOS, R. S.
245 $aFirst record of Caliothrips phaseoli (Hood, 1912) (Thysanoptera$bThripidae) on Arachis spp. (Fabaceae) in Brazil.$h[electronic resource]
260 $c2024
520 $aThe objective of this work was to establish the first record of Caliothrips phaseoli (Hood, 1912) (Thysanoptera: Thripidae); in forage peanut accessions in the state of Acre, Brazil. The specimens were collected directly from the leaves of infested plants grown in pots and under greenhouse conditions, preserved in 70 % ethyl alcohol, and mounted on slides to later be observed under a microscope. Caliothrips phaseoli is a polyphagous species considered an important pest in bean and soybean crops in Brazil. The insect feeds on forage peanuts causes chlorosis on the leaves and delays the development of infested plants, although no mortality was verified.
650 $aArachis
650 $aForage legumes
650 $aPlant pests
650 $aThrips (Thripidae)
650 $aCaliothrips Phaseoli
650 $aLeguminosa Forrageira
650 $aPraga de Planta
650 $aTripes
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aAmendoim forrageiro
653 $aCacahuetes forrajeros
653 $aFirst record
653 $aForage peanut
653 $aLeguminosas forrajeras
653 $aPlagas de plantas
653 $aPrimeiro registro
653 $aPrimer registro
653 $aWestern Amazon
700 1 $aLIMA, E. F. B.
773 $tRevista Colombiana de Entomología$gv. 50, n. 1, e13135, 2024.
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Embrapa Acre (CPAF-AC) |
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