Letteratura scientifica selezionata sul tema "Attributes data"
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Articoli di riviste sul tema "Attributes data"
Xu, Xiaofeng, Ivor W. Tsang e Chuancai Liu. "Improving Generalization via Attribute Selection on Out-of-the-Box Data". Neural Computation 32, n. 2 (febbraio 2020): 485–514. http://dx.doi.org/10.1162/neco_a_01256.
Testo completoMa, Xiaofei, Yi Feng, Yi Qu e Yang Yu. "Attribute Selection Method based on Objective Data and Subjective Preferences in MCDM". International Journal of Computers Communications & Control 13, n. 3 (27 maggio 2018): 391–407. http://dx.doi.org/10.15837/ijccc.2018.3.3188.
Testo completoZhao, Tao, Fangyu Li e Kurt J. Marfurt. "Seismic attribute selection for unsupervised seismic facies analysis using user-guided data-adaptive weights". GEOPHYSICS 83, n. 2 (1 marzo 2018): O31—O44. http://dx.doi.org/10.1190/geo2017-0192.1.
Testo completoZhang, Lin, e Jian Li Zhang. "Classification Algorithm Based on Category Attribute’s Mathematical Expectation". Advanced Materials Research 659 (gennaio 2013): 103–7. http://dx.doi.org/10.4028/www.scientific.net/amr.659.103.
Testo completoDuffy, Leanne M., e Shane P. Griffiths. "Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries". Aquatic Living Resources 32 (2019): 20. http://dx.doi.org/10.1051/alr/2019018.
Testo completoAlbattah, Waleed, Rehan Ullah Khan e Khalil Khan. "Attributes Reduction in Big Data". Applied Sciences 10, n. 14 (17 luglio 2020): 4901. http://dx.doi.org/10.3390/app10144901.
Testo completoAlfonseca, Enrique, Guillermo Garrido, Jean-Yves Delort e Anselmo Peñas. "WHAD: Wikipedia historical attributes data". Language Resources and Evaluation 47, n. 4 (28 maggio 2013): 1163–90. http://dx.doi.org/10.1007/s10579-013-9232-5.
Testo completoZhao, Huimin. "Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information". Journal of Database Management 21, n. 4 (ottobre 2010): 91–110. http://dx.doi.org/10.4018/jdm.2010100105.
Testo completoAgrawal, Ankit, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi e Alok Choudhary. "Lung Cancer Survival Prediction using Ensemble Data Mining on Seer Data". Scientific Programming 20, n. 1 (2012): 29–42. http://dx.doi.org/10.1155/2012/920245.
Testo completoMichelson, M., e C. A. Knoblock. "Creating Relational Data from Unstructured and Ungrammatical Data Sources". Journal of Artificial Intelligence Research 31 (28 marzo 2008): 543–90. http://dx.doi.org/10.1613/jair.2409.
Testo completoTesi sul tema "Attributes data"
Li, Wei. "Multi-attribute decision making a test on the impact of data attributes dependency /". Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5989.
Testo completoThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on November 9, 2007) Includes bibliographical references.
Dawara, Santosh. "Grouping related attributes /". Link to online version, 2004. https://ritdml.rit.edu/dspace/handle/1850/438.
Testo completoShongwe, Sandile Charles. "Contributions to control charts for attributes data". Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/79185.
Testo completoKalibjian, J. R., T. J. Voss, J. J. Yio e B. Hedeline. "Automated Binding of Attributes to Telemetry Data". International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/608880.
Testo completoAn automated method is described for binding attributes to extracted data from a telemetry stream. These attributes can be used by post processing utilities to facilitate efficient analysis. A practical implementation of such a scheme is described.
MARTINS, LEONARDO DE OLIVEIRA. "ESTIMATES OF VOLUMETRIC CURVATURE ATTRIBUTES IN SEISMIC DATA". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35204@1.
Testo completoCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Atributos de curvatura são uma importante ferramenta para visualização e interpretação de feições estruturais em dados sísmicos. Tais medidas podem realçar falhas e fraturas sutis que não estavam evidentes no dado de amplitude, fornecendo ao intérprete informações importantes para a construção do modelo geológico da área de interesse. Neste trabalho é apresentado um método para estimar atributos de curvatura volumérica em dados sísmicos empilhados. A partir do dado de amplitude, é computado um atributo identificador de horizonte, o qual permite que horizontes sísmicos sejam representados como superfícies de nível. Dessa maneira, o gradiente desse atributo fornece uma representação coerente do campo de normais do volume. Fórmulas para o cálculo de curvatura em superfícies implícitas são usadas para obter vários atributos de curvatura úteis na delineação e predição de importantes feições estratigráficas. Testes realizados com dados sintéticos e reais mostram que o método proposto é capaz de fornecer estimativas coerentes de atributos de curvatura a um baixo custo de processamento. São avaliados três atributos identificadores de horizontes: fase instantânea, derivada vertical e atributo de ridges.
Curvature attributes are powerful tools for visualization and interpretation of structural features in seismic data. Such measures may highlight faults and subtle fractures that were not evident in amplitude data, providing important information to the interpreter to build the geological model of the area of interest. This paper presents a method for estimating volumetric curvature attributes in post-stack seismic data. Using amplitude volume, an horizon identifier attribute is computed, in order to represent seismic horizons as level surfaces. Thus, the gradient of this attribute provides a coherent estimate of volumetric normal field. Formulas for the calculation of curvature in implicit surfaces are used to compute several curvature attributes useful in the delineation and prediction of important stratigraphic features. Tests with synthetic and real data show that the proposed method is able to provide consistent estimates of attributes of curvature at low cost processing. Three horizon identifer attributes are evaluated: instantaneous phase, vertical derivative and ridge attribute.
Qaiser, Elizae. "Quantization of Real-Valued Attributes for Data Mining". University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin983500840.
Testo completoNajmuddin, Ilyas Juzer. "Austin Fracture mapping using frequency data derived from seismic data". Texas A&M University, 2003. http://hdl.handle.net/1969/34.
Testo completoPham, Thanh H. "Dynamic Update Techniques for Online Maps and Attributes Data". NSUWorks, 2001. http://nsuworks.nova.edu/gscis_etd/771.
Testo completoNOGUEIRA, DANIEL MOURA. "DATA VISUALIZATION: THE PERSUASIVE SPEECH OF VISUAL ATTRIBUTES IN INFOGRAPHICS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=24672@1.
Testo completoCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Esta dissertação aborda o tema do discurso persuasivo nos infográficos, um dos produtos do Design da Informação. Os infográficos são amplamente usados como ferramenta de comunicação pela mídia, com o intuito de transmitir informações de modo sintético, rápido e atraente por meio de representações visuais diagramáticas. Examina e analisa os atributos visuais dos gráficos e infográficos sob o ponto de vista da retórica visual. Investiga o uso do ferramental disponível para a elaboração de visualizações de dados persuasivas, que comuniquem de forma eloquente e eficiente o discurso desejado, obtendo a adesão do leitor. Os aportes teóricos da pesquisa se encontram na proposta de uma Retórica do Design, de Almeida Junior, fundamentada na Nova Retórica, de Chaïm Perelman e Lucie Olbrechts-Tyteca, nas investigações sobre a Percepção Visual voltada à visualização de dados, nas pesquisas de Colin Ware e Stephen Few, e na Semiótica de Charles Sanders Peirce, como elemento transdisciplinar, perpassando pelos diferentes tópicos como forma de integrá-los. Foram tomados, como casos exemplares, infográficos da seção Jornais da Sexta Mostra Nacional de Infografia de 2012, o Infolide. Os infográficos analisados mostram a intensa presença de recursos e ferramentas de persuasão na infografia impressa. Como resultado, chegou-se à conclusão de que é possível o designer intensificar o poder persuasivo dos seus infográficos, aprofundando-se acerca dos sistemas cognitivos da linguagem que regem a compreensão do leitor, ou seja, do seu auditório.
This dissertation addresses the topic of persuasive speech in infographics, one of the products of the Information Design. The infographics are widely used as a communication tool by the media, in order to transmit information in a synthetic, fast and attractive way using visual diagrammatic representations. Examines and analyzes the visual attributes of the data graphs and infographics from the point of view of visual rhetoric. Investigates the use of the tools available for developing compelling data visualizations that communicate eloquently and efficiently the desired speech, with the adherence of the reader. The theoretical references of the research are the proposal of a Rhetoric of Design, by Almeida Junior, based on the New Rhetoric of Chaïm Perelman and Lucie Olbrechts- Tyteca, the investigations on Visual Perception oriented to data visualization, in surveys of Colin Ware and Stephen Few, and the Semiotics of Charles Sanders Peirce, as a transdisciplinary element, passing through the different topics, integrating them. Were taken, as special cases, infographics from the Newspapers section of the 6th National Exhibition Infographics 2012, Infolide. The analyzed infographics show the intense presence of persuasive tools in printed infographics. As a result, the conclusion that the designer can enhance the persuasive power of their infographics deepening his knowledge about cognitive and language systems that govern the reader s understanding, ie, of his audience.
Sajja, Sunitha. "Data Mining of Medical Datasets with Missing Attributes from Different Sources". Youngstown State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1300298263.
Testo completoLibri sul tema "Attributes data"
Scarpa, Riccardo. Reliability of benefit value transfers from contingent valuation data with forest-specific attributes. Milan: Fondazione Eni Enrico Mattei, 2000.
Cerca il testo completoByrne, John C. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.
Cerca il testo completoByrne, John C. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.
Cerca il testo completoMuus, Kyle J. Health-related attributes of North Dakota adults with disabilities: Analysis of 2001-2007 BRFSS data. Minot, ND: North Dakota Disability Health Project, North Dakota Center for Persons with Disabilities, Minot State University, 2009.
Cerca il testo completoLambaounas, Andreas. Data mining by attribute oriented induction. Manchester: UMIST, 1994.
Cerca il testo completoWaite, William M. Generator for attributed grammars: Abstract data type. Sankt Augustin, W.-Germany: Gesellschaft f"ur Mathematik und Datenverarbeitung, 1986.
Cerca il testo completoWang, Y. Richard. Toward quality data: An attribute-based approach. Cambridge, MA, USA: Productivity From Information Technology, "PROFIT" Research Initiative, Sloan School of Management, Massachusetts Institute of Technology, 1992.
Cerca il testo completoReeve, Derek E. Attribute data and database theory: Course notes. 4a ed. Manchester: Manchester Metropolitan University Department of Environmental and Geographical Sciences, 1994.
Cerca il testo completoPrediger, D. J. Linking occupational attribute preferences to occupations. Iowa City, Iowa: American College Testing Program, 1996.
Cerca il testo completoEvangeliou, N. Simulating statistical quality control procedures for handling attribute data. Manchester: UMIST, 1996.
Cerca il testo completoCapitoli di libri sul tema "Attributes data"
von Frese, Ralph R. B. "Data Attributes". In Basic Environmental Data Analysis for Scientists and Engineers, 15–34. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429291210-2.
Testo completoBramer, Max. "Continuous Attributes". In Principles of Data Mining, 93–119. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7307-6_8.
Testo completoBramer, Max. "Continuous Attributes". In Principles of Data Mining, 93–119. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-7493-6_8.
Testo completoBramer, Max. "Continuous Attributes". In Principles of Data Mining, 93–119. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4884-5_8.
Testo completoSharmanska, Viktoriia, e Novi Quadrianto. "In the Era of Deep Convolutional Features: Are Attributes Still Useful Privileged Data?" In Visual Attributes, 31–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50077-5_3.
Testo completoChandra, Yanto, e Liang Shang. "Data Attributes and Memos". In Qualitative Research Using R: A Systematic Approach, 107–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3170-1_9.
Testo completoKauderer, Harald, e Hans-Joachim Mucha. "Supervised Learning with Qualitative and Mixed Attributes". In Classification, Data Analysis, and Data Highways, 374–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72087-1_40.
Testo completoNanda, Niranjan C. "Analysing Seismic Attributes". In Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production, 171–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26491-2_10.
Testo completoNanda, Niranjan C. "Analysing Seismic Attributes". In Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production, 205–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75301-6_10.
Testo completoHamilton, Howard J., e Dee Jay Randall. "Data Mining with Calendar Attributes". In Temporal, Spatial, and Spatio-Temporal Data Mining, 117–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45244-3_10.
Testo completoAtti di convegni sul tema "Attributes data"
Singh, Prem Kumar, e Aswani Kumar. "Attribute implications in data with fuzzy attributes using armstrong axioms". In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389514.
Testo completoBelohlavek, Radim, e Vilem Vychodil. "Similarity issues in attribute implications from data with fuzzy attributes". In Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration. IEEE, 2006. http://dx.doi.org/10.1109/iri.2006.252401.
Testo completoProtasov, Maxim I., Vladimir A. Tcheverda e Valery V. Shilikov. "Diffraction images and their attributes based on asymmetric summation: real data application". In Недропользование. Горное дело. Направления и технологии поиска, разведки и разработки месторождений полезных ископаемых. Экономика. Геоэкология. Федеральное государственное бюджетное учреждение науки Институт нефтегазовой геологии и геофизики им. А.А. Трофимука Сибирского отделения Российской академии наук, 2020. http://dx.doi.org/10.18303/b978-5-4262-0102-6-2020-062.
Testo completoDong, Tingting, Shoji Nishimura e Jianquan Liu. "Refining Image Search Results using Multiple Attributes". In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005685.
Testo completoLi, Nan, e Longin Jan Latecki. "Affinity Learning for Mixed Data Clustering". In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/302.
Testo completoBienati, N. "Impact of Geometry of Minimum Data Sets on 3D Velocity Analysis". In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406708.
Testo completoTrabelsi, Mohamed, Brian D. Davison e Jeff Heflin. "Improved Table Retrieval Using Multiple Context Embeddings for Attributes". In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005681.
Testo completoYo, Take, e Kazutoshi Sasahara. "Inference of personal attributes from tweets using machine learning". In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258295.
Testo completoWei, Xiaokai, Bokai Cao, Weixiang Shao, Chun-Ta Lu e Philip S. Yu. "Community detection with partially observable links and node attributes". In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840670.
Testo completoWalter, Robert A., e Leonora Katz-Rhoads. "NHTSA Vehicle Safety Attributes Data Book". In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/870347.
Testo completoRapporti di organizzazioni sul tema "Attributes data"
Byrne, John C., e Albert R. Stage. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1988. http://dx.doi.org/10.2737/int-gtr-247.
Testo completoOlson, Jon E., Larry W. Lake e Steve E. Laubach. Advanced technology for predicting the fluid flow attributes of naturally fractured reservoirs from quantitative geological data and modeling. Office of Scientific and Technical Information (OSTI), novembre 2004. http://dx.doi.org/10.2172/838717.
Testo completoJon E. Olson, Larry W. Lake e Steve E. Laubach. ADVANCED TECHNOLOGY FOR PREDICTING THE FLUID FLOW ATTRIBUTES OF NATURALLY FRACTURED RESERVOIRS FROM QUANTITATIVE GEOLOGIC DATA AND MODELING. Office of Scientific and Technical Information (OSTI), aprile 2003. http://dx.doi.org/10.2172/820623.
Testo completoOlson, Jon E., Larry W. Lake e Steve E. Laubach. Advanced technology for predicting the fluid flow attributes of naturally fractured reservoirs from quantitative geological data and modeling. Office of Scientific and Technical Information (OSTI), maggio 2003. http://dx.doi.org/10.2172/820624.
Testo completoLoftis, Charles, Tennyson Chen e Jonathan Cirella. Attribute-level encryption of data in public android databases. Research Triangle Park, NC: RTI Press, settembre 2013. http://dx.doi.org/10.3768/rtipress.2013.op.0016.1309.
Testo completoSither, Mark A. Spatial Data Transformation: Feature Attribute Conversion Issues and Practical Experience. Fort Belvoir, VA: Defense Technical Information Center, marzo 1991. http://dx.doi.org/10.21236/ada254829.
Testo completoSither, Mark A. Spatial Data Transformation: Feature Attribute Conversion Issues and Practical Experience. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1991. http://dx.doi.org/10.21236/ada254238.
Testo completoArbeit, Caren A., Alexander Bentz, Emily Forrest Cataldi e Herschel Sanders. Alternative and Independent: The universe of technology-related “bootcamps". RTI Press, febbraio 2019. http://dx.doi.org/10.3768/rtipress.2019.rr.0033.1902.
Testo completoFerraiolo, David F., Ramaswamy Chandramouli, Vincent C. Hu e D. Richard R. Kuhn. A Comparison of Attribute Based Access Control (ABAC) Standards for Data Service Applications. National Institute of Standards and Technology, ottobre 2016. http://dx.doi.org/10.6028/nist.sp.800-178.
Testo completoCafferata, Fernando G., Bridget Lynn Hoffmann e Carlos Scartascini. How Can We Improve Air Pollution?: Try Increasing Trust First. Inter-American Development Bank, agosto 2021. http://dx.doi.org/10.18235/0003453.
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