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| 101. |  | MANZATTO, C. V.; RAMOS, D. P.; MATOS, J. A. de; FERNANDES, S. G. Potencialidade edafoclimática das terras do estado do Rio de Janeiro. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 27., 1999, Brasília, DF. Resumos [...]. Planaltina, DF: Embrapa Cerrados, 1999. 1 CD-ROM.| Biblioteca(s): Embrapa Solos. |
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| 102. | | PADOVAN, M. P.; PEREIRA, Z. V.; NASCIMENTO, J. S.; FERNANDES, S. S. L.; ALVES, J. C. Potencial de sistemas agroflorestais biodiversos em processos de restauração ambiental. In: SEMINÁRIO INTERNACIONAL DE AGROECOLOGIA DA AMÉRICA DO SUL, 2.; JORNADA INTERNACIONAL DE EDUCAÇÃO DO CAMPO, 1.; SEMINÁRIO DE AGROECOLOGIA DE MATO GROSSO DO SUL, 6; ENCONTRO DE PRODUTORES AGROECOLÓGICOS DE MATO GROSSO DO SUL, 5.; SEMINÁRIO DE SISTEMAS AGROFLORESTAIS EM BASES AGROECOLÓGICAS DE MATO GROSSO DO SUL, 2., 2016, Dourados. Agroecologia e soberania alimentar: saberes em busca do bem viver: anais. Dourados: UFGD, 2016. Não paginado. Agroecol 2016. 1 CD-ROM. Publicado também em: Cadernos de Agroecologia, v. 11, n. 2, 2016.| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 108. | | FERNANDES, S. A. P.; BETTIOL, W.; CERRI, C. C.; CAMARGO, Plínio. Sewage sludge effects on gas fluxes at the soil-atmosphere interface, on soil d13C and on total soil carbon and nitrogen. Geoderma, Amsterdam, v. 125, n. 1-2, p. 49-57, 2005.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 110. | | UHDE, L. T.; FERNANDES, S. B. V.; CARBONERA, R.; OLIVEIRA, L. de; SILVA, G. M. da. Rede Leite - uma experiência de desenvolvimento regional interinstitucional. In: SIMPOSIO IBEROAMERICANO DE COOPERACIÓN PARA EL DESARROLLO Y LA INTEGRACIÓN REGIONAL, 7., 2015, Misiones. Anales... Misiones: Universidad Gastón Dachary, 2015. 1 CD-ROM. Compiladores: Luis Lichowski, Alicia Pokolenko, Jorge Ferrari, Lucía Pavón, Sérgio Tamoski.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 112. | | MARQUES, R. F.; PADOVAN, M. P.; MOTTA, I. de S.; MOITINHO, M. R.; FERNANDES, S. S. Supressão de plantas espontâneas com adubação verde de primavera/verão em agroecossistema sob bases ecológicas, em Dourados, MS. In: SEMINÁRIO DE AGROECOLOGIA DE MATO GROSSO DO SUL, 3.; ENCONTRO DE PRODUTORES AGROECOLÓGICOS DE MS, 2., 2010, Corumbá. Construindo um futuro sustentável e solidário: anais. Dourados: Embrapa Agropecuária Oeste; Corumbá: Embrapa Pantanal; Campo Grande: Embrapa Gado de Corte, 2010. Editado por: Milton Parron Padovan, Ivo de Sá Motta, Hamilton Kikuti, Aurélio V. Borsato, Rogério Ferreira da Silva, Adalgiza Inês Campolim, Alzira Salet Menegat, Alberto Faiden. 1 CD-ROM.| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 117. | | PINTO, N. A. V. D.; FERNANDES, S. M.; THÉ, P. M. P; CARVALHO, V. D. de. Variabilidade da composição centesimal, vitamina C, ferro e cálcio de partes da folha de taioba (Xanthosoma sagittifolium schott). Revista Brasileira de Agrociência, Pelotas, v. 7, n. 3, p. 205-208, set./dez. 2001.| Biblioteca(s): Embrapa Hortaliças. |
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| 118. | | REIS, V. D. A. dos; FERNANDES, S. F. L.; SALLES, C. A. O. Varroa destructor infestation in adult bees of Apis mellifera in Pantanal, Brazil, 2018-2021. In: INTERNATIONAL APICULTURAL CONGRESS, 48., 2023, Santiago. Sustainable beekeeping, from the south to the world: abstract book... Santiago: APIMONDIA, 2023. p. 266. Ref. PP-285.| Biblioteca(s): Embrapa Pantanal. |
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| 119. | | REIS, V. D. A. dos; SALLES, C. A. O.; FERNANDES, S. F. L. Varroa destructor infestation in pre-pupae and pupae of Apis mellifera in Pantanal, Brazil, 2018-2021. In: INTERNATIONAL APICULTURAL CONGRESS, 48., 2023, Santiago. Sustainable beekeeping, from the south to the world: abstract book... Santiago: APIMONDIA, 2023. Ref. PP-282.| Biblioteca(s): Embrapa Pantanal. |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
18/09/2008 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
OLIVEIRA, S. R. de M. |
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Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA. |
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Título: |
Privacy-preserving data mining. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: WANG, J. Encyclopedia of data warehousing and mining. 2nd ed. Hershey: Information Science Reference, 2009. |
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Volume: |
v. III |
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Páginas: |
p. 1582-1588. |
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ISBN: |
978-1-60566-011-0 |
|
Idioma: |
Inglês |
|
Notas: |
Na publicação: Stanley R. M. Oliveira. |
|
Conteúdo: |
Despite its benefits in various areas (e.g., business, medical analysis, scientific data analysis, etc), the use of data mining techniques can also result in new threats to privacy and information security. The problem is not data mining itself, but the way data mining is done. "Data mining results rarely violate privacy, as they generally reveal high-Ievel knowledge rather than disclosing instances of data" (Vaidya & Clifton, 2003). However, the concern among privacy advocates is well founded, as bringing data together to support data mining projects makes misuse easier. Thus, in the absence ofadequate safeguards, the use of data mining can jeopardize the privacy and autonomy of individuals. Privacy-preserving data mining (PPDM) cannot simply be addressed by restricting data collection or even by restricting the secondary use of information technology (Brankovic & V. Estivill-Castro, 1999). Moreover, there is no exact solution that resolves privacy preservation in data mining. In some applications, solutions for PPDM problems might meet privacy requirements and provide valid data mining results (Oliveira & ZaYane, 2004b). We have witnessed three major landmarks that characterize the progress and success of this new research area: the conceptive landmark, the deployment landmark, and the prospective landmark. The Conceptive landmark characterizes the period in which central figures in the community, such as O'Leary (1995), Piatetsky-Shapiro (1995), and others (Klõsgen, 1995; Clifton & Marks, 1996), investigated the success of knowledge discovery and some of the important areas where it can conflict with privacy concerns. The key finding was that knowledge discovery can open new threats to informational privacy and information security if not done or used properly. The Deployment landmark is the current period in which an increasing number of PPDM techniques have been developed and have been published in refereed conferences. The information available today is spread over countless papers and conference proceedings. The results achieved in the last years are promising and suggest that PPDM will achieve the goals that have been set for it. The Prospective landmark is a new period in which directed efforts toward standardization occur. At this stage, there is no consensus on privacy principles, policies, and requirements as a foundation for the development and deployment of new PPDM techniques. The excessive number of techniques is leading to confusion among developers, practitioners, and others interested in this technology. One of the most important challenges in PPDM now is to establish the groundwork for further research and development in this area. MenosDespite its benefits in various areas (e.g., business, medical analysis, scientific data analysis, etc), the use of data mining techniques can also result in new threats to privacy and information security. The problem is not data mining itself, but the way data mining is done. "Data mining results rarely violate privacy, as they generally reveal high-Ievel knowledge rather than disclosing instances of data" (Vaidya & Clifton, 2003). However, the concern among privacy advocates is well founded, as bringing data together to support data mining projects makes misuse easier. Thus, in the absence ofadequate safeguards, the use of data mining can jeopardize the privacy and autonomy of individuals. Privacy-preserving data mining (PPDM) cannot simply be addressed by restricting data collection or even by restricting the secondary use of information technology (Brankovic & V. Estivill-Castro, 1999). Moreover, there is no exact solution that resolves privacy preservation in data mining. In some applications, solutions for PPDM problems might meet privacy requirements and provide valid data mining results (Oliveira & ZaYane, 2004b). We have witnessed three major landmarks that characterize the progress and success of this new research area: the conceptive landmark, the deployment landmark, and the prospective landmark. The Conceptive landmark characterizes the period in which central figures in the community, such as O'Leary (1995), Piatetsky-Shapiro (1995), and others (Klõsgen, 1995;... Mostrar Tudo |
|
Palavras-Chave: |
Data mining; Mineração de dados; Preservação da informação; Privacidade; Privacy; Segurança. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 03438naa a2200241 a 4500
001 1008652
005 2020-01-16
008 2009 bl uuuu u00u1 u #d
020 $a978-1-60566-011-0
100 1 $aOLIVEIRA, S. R. de M.
245 $aPrivacy-preserving data mining.$h[electronic resource]
260 $c2009
300 $ap. 1582-1588. v. III
490 $vv. III
500 $aNa publicação: Stanley R. M. Oliveira.
520 $aDespite its benefits in various areas (e.g., business, medical analysis, scientific data analysis, etc), the use of data mining techniques can also result in new threats to privacy and information security. The problem is not data mining itself, but the way data mining is done. "Data mining results rarely violate privacy, as they generally reveal high-Ievel knowledge rather than disclosing instances of data" (Vaidya & Clifton, 2003). However, the concern among privacy advocates is well founded, as bringing data together to support data mining projects makes misuse easier. Thus, in the absence ofadequate safeguards, the use of data mining can jeopardize the privacy and autonomy of individuals. Privacy-preserving data mining (PPDM) cannot simply be addressed by restricting data collection or even by restricting the secondary use of information technology (Brankovic & V. Estivill-Castro, 1999). Moreover, there is no exact solution that resolves privacy preservation in data mining. In some applications, solutions for PPDM problems might meet privacy requirements and provide valid data mining results (Oliveira & ZaYane, 2004b). We have witnessed three major landmarks that characterize the progress and success of this new research area: the conceptive landmark, the deployment landmark, and the prospective landmark. The Conceptive landmark characterizes the period in which central figures in the community, such as O'Leary (1995), Piatetsky-Shapiro (1995), and others (Klõsgen, 1995; Clifton & Marks, 1996), investigated the success of knowledge discovery and some of the important areas where it can conflict with privacy concerns. The key finding was that knowledge discovery can open new threats to informational privacy and information security if not done or used properly. The Deployment landmark is the current period in which an increasing number of PPDM techniques have been developed and have been published in refereed conferences. The information available today is spread over countless papers and conference proceedings. The results achieved in the last years are promising and suggest that PPDM will achieve the goals that have been set for it. The Prospective landmark is a new period in which directed efforts toward standardization occur. At this stage, there is no consensus on privacy principles, policies, and requirements as a foundation for the development and deployment of new PPDM techniques. The excessive number of techniques is leading to confusion among developers, practitioners, and others interested in this technology. One of the most important challenges in PPDM now is to establish the groundwork for further research and development in this area.
653 $aData mining
653 $aMineração de dados
653 $aPreservação da informação
653 $aPrivacidade
653 $aPrivacy
653 $aSegurança
773 $tIn: WANG, J. Encyclopedia of data warehousing and mining. 2nd ed. Hershey: Information Science Reference, 2009.
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