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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
06/02/2002 |
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Data da última atualização: |
30/04/2025 |
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Autoria: |
HAENDCHEN FILHO, A.; PRADO, H. A. do; ENGEL, P. M.; STAA, A. von. |
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Afiliação: |
ALUÍZIO HAENDCHEN FILHO, PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO; HERCULES ANTONIO DO PRADO, CPAC; PAULO MARTINS ENGEL, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; ARNDT VON STAA, PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO. |
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Título: |
X search: a neural network based tool for components search in a distributed object environment. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS- DEXA 2001, 12., 2001, Munich. Proceedings...Berlin: Springer, 2001. p. 42-53. |
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Páginas: |
P. 42-53. |
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Série: |
(Lecture Notes in Computer Science). |
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Idioma: |
Inglês |
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Notas: |
Editado por Heinrich C. Mayr; Jiri Lazansky; Gerald Quirchmayr; Pavel Vogel. |
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Conteúdo: |
Abstract. The large-scale adoption of three-tier partitioned architectures and the support provided by the distributed object technology has brought a great flexibility to the information systems development process. In addition, the development of applications based on these alternatives has led to an increasing amount of components. This boom in the components amount was remarkably influenced by the Internet arising, that incorporated a number of new components, as HTML pages, java scripts, servlets, applets, and others. In this context, to recover the most suitable component to accomplish the requirements of a particular application is crucial to an effective reuse and the consequent reduction in time, effort and cost. We describe, in this article, a neural network based solution to implement a components intelligent recovering mechanism. By applying this process, a developer will be able to stress the reuse, while avoiding the morbid proliferation of nearly similar components |
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Palavras-Chave: |
Computer applications; Inteligencia artificial. |
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Thesaurus Nal: |
artificial intelligence. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01874naa a2200229 a 4500
001 1564276
005 2025-04-30
008 2001 bl uuuu u00u1 u #d
100 1 $aHAENDCHEN FILHO, A.
245 $aX search$ba neural network based tool for components search in a distributed object environment.$h[electronic resource]
260 $c2001
300 $aP. 42-53.
490 $a(Lecture Notes in Computer Science).
500 $aEditado por Heinrich C. Mayr; Jiri Lazansky; Gerald Quirchmayr; Pavel Vogel.
520 $aAbstract. The large-scale adoption of three-tier partitioned architectures and the support provided by the distributed object technology has brought a great flexibility to the information systems development process. In addition, the development of applications based on these alternatives has led to an increasing amount of components. This boom in the components amount was remarkably influenced by the Internet arising, that incorporated a number of new components, as HTML pages, java scripts, servlets, applets, and others. In this context, to recover the most suitable component to accomplish the requirements of a particular application is crucial to an effective reuse and the consequent reduction in time, effort and cost. We describe, in this article, a neural network based solution to implement a components intelligent recovering mechanism. By applying this process, a developer will be able to stress the reuse, while avoiding the morbid proliferation of nearly similar components
650 $aartificial intelligence
653 $aComputer applications
653 $aInteligencia artificial
700 1 $aPRADO, H. A. do
700 1 $aENGEL, P. M.
700 1 $aSTAA, A. von
773 $tIn: INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS- DEXA 2001, 12., 2001, Munich. Proceedings...Berlin: Springer, 2001. p. 42-53.
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| 1. |  | HACKET-PAIN, A.; FOEST, J. J.; PEARSE, I. S.; LAMONTAGNE, J. M.; KOENIG, W. D.; VACCHIANO, G.; BOGDZIEWICZ, M.; CAIGNARD, T.; CELEBIAS, P.; VAN DORMOLEN, J.; FERNANDEZ-MARTINEZ, M.; MORIS, J. V.; PALAGHIANU, C.; PESENDORFER, M.; SATAKE, A.; SCHERMER, E.; TANENTZAP, A. J.; THOMAS, P. A.; VECCHIO, D.; WION, A. P.; WOHLGEMUTH, T.; XUE, T. T.; ABERNETHY, K.; ACUNA, M. C. A.; BARRERA, M. D.; BARTON, J. H.; BOUTIN, S.; BUSH, E. R.; CALDERON, S. D.; CAREVIC, F. S.; CASTILHO, C. V. de; CELLINI, J. M.; CHAPMAN, C. A.; CHAPMAN, H.; CHIANUCCI, F.; COSTA, P. da; CROISE, L.; CUTINI, A.; DANTZER, B.; DEROSE, R. J.; DIKANGADISSI, J. T.; DIMOTO, E.; FONSECA, F. L. da; GALLO, L.; GRATZER, G.; GREENE, D. F.; HADAD, M. A.; HERRERA, A. H.; JEFFERY, K. J.; JOHNSTONE, J. F.; KALBITZER, U.; KANTOROWICZ, W.; KLIMAS, C. A.; LAGEARD, J. G. A.; LANE, J.; LAPIN, K.; LEDWON, M.; LEEPER, A. C.; LENCINAS, M. V.; LIRA-GUEDES, A. C.; LORDON, M. C.; MARCHELLI, P.; MARINO, S.; VAN MARLE, H. S.; MCADAM, A. G.; MOMONT, L. R. W.; NICOLAS, M.; WADT, L. H. de O.; PANAHI, P.; PASTUR, G. M.; PATTERSON, T.; PERI, P. L.; PIECHNIK, L.; POURHASHEMI, M.; QUEZADA, C. E.; ROIG, F. A.; ROJAS, K. P.; ROSAS, Y. M.; SCHUELER, S.; SEGET, B.; SOLER, R.; STEELE, M. A.; TORO-MANRIQUEZ, M.; TUTIN, C. E. G.; UKIZINTAMBARA, T.; WHITE, L.; YADOK, B.; WILLIS, J. L.; ZOLLES, A.; ZYWIEC, M.; ASCOLI, D. MASTREE+: Time-series of plant reproductive effort from six continents. Global Change Biology, v. 28, n. 9, p. 3066-3082, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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