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Letteratura scientifica selezionata sul tema "Data base research"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 20 febbraio 2023

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Articoli di riviste sul tema "Data base research"

Stonebraker, Michael. "Data base research at Berkeley". ACM SIGMOD Record 19, n. 4 (dicembre 1990): 113–18. http://dx.doi.org/10.1145/122058.122072.

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Radach, G., J. Gekeler, G. Becker, P. Bot, P. Castaing, F. Colijn, P. Damm et al. "The NOWESP research data base". Deutsche Hydrographische Zeitschrift 48, n. 3-4 (settembre 1996): 241–59. http://dx.doi.org/10.1007/bf02799374.

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Kareiva, Peter. "Paleobiology data base catalyzes research breakthroughs". Trends in Ecology & Evolution 16, n. 11 (novembre 2001): 605. http://dx.doi.org/10.1016/s0169-5347(01)02346-1.

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Wu, Xiang Min, Cheng Lin Zhao e Pan Cao. "Research of Data Base and Data Mining in CRM". Applied Mechanics and Materials 543-547 (marzo 2014): 2988–91. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2988.

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Customer Relationship Management (CRM) is becoming the focus of enterprise and an active research field of computer science. The ariticle introduces some basic concepts about CRM and data mining, and some benefits brought by data mining in CRM. At the end it points out how to apply data mining applications in CRM.

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Dungworth, Terence. "The Federal Court Data Base: New Research Opportunities". IASSIST Quarterly 12, n. 1 (31 luglio 1988): 3. http://dx.doi.org/10.29173/iq266.

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Tate, C. Neal. "Microcomputer Data Base Programs in Social Research". Evaluation Review 10, n. 5 (ottobre 1986): 682–93. http://dx.doi.org/10.1177/0193841x8601000507.

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Marshall, Fray F., Andrew K. Stewart e Herman R. Menck. "The national cancer data base". Cancer 80, n. 11 (1 dicembre 1997): 2167–74. http://dx.doi.org/10.1002/(sici)1097-0142(19971201)80:11<2167::aid-cncr18>3.0.co;2-x.

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Zhang, Mei, Huan Liu e Jinghua Wen. "E-Commerce Security Research in Big Data Environment". International Journal of Enterprise Information Systems 14, n. 1 (gennaio 2018): 63–76. http://dx.doi.org/10.4018/ijeis.2018010104.

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Rapid development of e-commerce and mobile communication opens a new era of big data. In this article, the authors put big data and e-commerce security together. They construct electronic commerce security system from these aspects: the creation of database, the security of information storage, the mining of information based on big data environment thoroughly. The second-generation product distributed platform- Apache Hadoop which is more popular and instant has been brought in. what's more, this article expounds the structure and working process. On the base of this platform, this article analyses the certainty and security of e-commerce transactions data developed on the condition of big data. It puts forward a construction view that people should guide and monitor the behavior of e-commerce, and improve the security system of electronic commerce on the base of data.

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Jakobsson, Olafur P. "Computer Data Base for Cleft Lip and Palate Research". Scandinavian Journal of Plastic and Reconstructive Surgery and Hand Surgery 24, n. 1 (gennaio 1990): 47–51. http://dx.doi.org/10.3109/02844319009004520.

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Research Committee on Spring Materi. "Report of Research Committee on Spring Material Data Base". Transactions of Japan Society of Spring Engineers, n. 55 (2010): 63–74. http://dx.doi.org/10.5346/trbane.2010.63.

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Tesi sul tema "Data base research"

Fechner, Harry H. E., University of Western Sydney, College of Law and Business e School of Management. "Data base accuracy and integrity as a precondition for overhead allocations". THESIS_CLAB_MAN_Fechner_H.xml, 2004. http://handle.uws.edu.au:8081/1959.7/807.

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Interest in more accurate assignment of overhead costs to establish credible product/service cost profiles has assumed substantial prominence in much of the recent debates on management accounting practices. While the promotion of new cost management systems and in particular Activity Based Costing (ABC) has promised to address many of the perceived shortcomings of more traditional and long established techniques, the lack of its implementation success raises some concern as to the validity and value of these new system designs. A major purpose of this thesis is the development of a mathematical model that is capable of computing overhead allocations on the basis of organisational specific dimensions other than DLH.While almost all data bases suffer from data entry and omission errors, the information content contained in the data bases often forms the basis for management decisions without first confirming the accuracy of the data base content. The model has been successfully applied and tested to detect internal consistency and data element detail accuracy. Future research may test the applicability of the model with more diverse data bases to confirm its generalisability as an investigative as well as predictive model.
Doctor of Philosophy (PhD)

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IGAMI, MERY P. Z. "Elaboração de indicadores de produção científica com base na análise cientométrica das dissertações e teses do IPEN". reponame:Repositório Institucional do IPEN, 2011. http://repositorio.ipen.br:8080/xmlui/handle/123456789/10022.

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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

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MACEDO, VAGNER dos S. "Desenvolvimento de uma base de dados computacional para aplicação em Análise Probabilística de Segurança de reatores nucleares de pesquisa". reponame:Repositório Institucional do IPEN, 2016. http://repositorio.ipen.br:8080/xmlui/handle/123456789/27500.

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O objetivo deste trabalho é apresentar a base de dados que foi desenvolvida para armazenar dados técnicos e processar dados sobre operação, falha e manutenção de equipamentos dos reatores nucleares de pesquisa localizados no Instituto de Pesquisas Energéticas e Nucleares (IPEN), em São Paulo - SP. Os dados extraídos desta base poderão ser aplicados na Análise Probabilística de Segurança dos reatores de pesquisa ou em avaliações quantitativas menos complexas relacionadas à segurança, confiabilidade, disponibilidade e manutenibilidade destas instalações. Esta base de dados foi desenvolvida de modo a permitir que as informações nela contidas estejam disponíveis aos usuários da rede corporativa, que é a intranet do IPEN. Os profissionais interessados deverão ser devidamente cadastrados pelo administrador do sistema, para que possam efetuar a consulta e/ou o manuseio dos dados. O modelo lógico e físico da base de dados foi representado por um diagrama de entidades e relacionamento e está de acordo com os módulos de segurança instalados na intranet do IPEN. O sistema de gerenciamento da base de dados foi desenvolvido com o MySQL, o qual utiliza a linguagem SQL como interface. A linguagem de programação PHP foi usada para permitir o manuseio da base de dados pelo usuário. Ao final deste trabalho, foi gerado um sistema de gerenciamento de base de dados capaz de fornecer as informações de modo otimizado e com bom desempenho.
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP

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Macedo, Vagner dos Santos. "Desenvolvimento de uma base de dados computacional para aplicação em Análise Probabilística de Segurança de reatores nucleares de pesquisa". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/85/85133/tde-23032017-151449/.

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O objetivo deste trabalho é apresentar a base de dados que foi desenvolvida para armazenar dados técnicos e processar dados sobre operação, falha e manutenção de equipamentos dos reatores nucleares de pesquisa localizados no Instituto de Pesquisas Energéticas e Nucleares (IPEN), em São Paulo - SP. Os dados extraídos desta base poderão ser aplicados na Análise Probabilística de Segurança dos reatores de pesquisa ou em avaliações quantitativas menos complexas relacionadas à segurança, confiabilidade, disponibilidade e manutenibilidade destas instalações. Esta base de dados foi desenvolvida de modo a permitir que as informações nela contidas estejam disponíveis aos usuários da rede corporativa, que é a intranet do IPEN. Os profissionais interessados deverão ser devidamente cadastrados pelo administrador do sistema, para que possam efetuar a consulta e/ou o manuseio dos dados. O modelo lógico e físico da base de dados foi representado por um diagrama de entidades e relacionamento e está de acordo com os módulos de segurança instalados na intranet do IPEN. O sistema de gerenciamento da base de dados foi desenvolvido com o MySQL, o qual utiliza a linguagem SQL como interface. A linguagem de programação PHP foi usada para permitir o manuseio da base de dados pelo usuário. Ao final deste trabalho, foi gerado um sistema de gerenciamento de base de dados capaz de fornecer as informações de modo otimizado e com bom desempenho.
The objective of this work is to present the computational database that was developed to store technical information and process data on component operation, failure and maintenance for the nuclear research reactors located at the Nuclear and Energy Research Institute (Instituto de Pesquisas Energéticas e Nucleares, IPEN), in São Paulo, Brazil. Data extracted from this database may be applied in the Probabilistic Safety Analysis of these research reactors or in less complex quantitative assessments related to safety, reliability, availability and maintainability of these facilities. This database may be accessed by users of the corporate network, named IPEN intranet. Professionals who require the access to the database must be duly registered by the system administrator, so that they will be able to consult and handle the information. The logical model adopted to represent the database structure is an entity-relationship model, which is in accordance with the protocols installed in IPEN intranet. The open-source relational database management system called MySQL, which is based on the Structured Query Language (SQL), was used in the development of this work. The PHP programming language was adopted to allow users to handle the database. Finally, the main result of this work was the creation a web application for the component reliability database named PSADB, specifically developed for the research reactors of IPEN; furthermore, the database management system provides relevant information efficiently.

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REIS, JUNIOR JOSE S. B. "Métodos e softwares para análise da produção científica e detecção de frentes emergentes de pesquisa". reponame:Repositório Institucional do IPEN, 2015. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26929.

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O progresso de projetos anteriores salientou a necessidade de tratar o problema dos softwares para detecção, a partir de bases de dados de publicações científicas, de tendências emergentes de pesquisa e desenvolvimento. Evidenciou-se a carência de aplicações computacionais eficientes dedicadas a este propósito, que são artigos de grande utilidade para um melhor planejamento de programas de pesquisa e desenvolvimento em instituições. Foi realizada, então, uma revisão dos softwares atualmente disponíveis, para poder-se delinear claramente a oportunidade de desenvolver novas ferramentas. Como resultado, implementou-se um aplicativo chamado Citesnake, projetado especialmente para auxiliar a detecção e o estudo de tendências emergentes a partir da análise de redes de vários tipos, extraídas das bases de dados científicas. Através desta ferramenta computacional robusta e eficaz, foram conduzidas análises de frentes emergentes de pesquisa e desenvolvimento na área de Sistemas Geradores de Energia Nuclear de Geração IV, de forma que se pudesse evidenciar, dentre os tipos de reatores selecionados como os mais promissores pelo GIF - Generation IV International Forum, aqueles que mais se desenvolveram nos últimos dez anos e que se apresentam, atualmente, como os mais capazes de cumprir as promessas realizadas sobre os seus conceitos inovadores.
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP

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Kantu, Dieudonne Kabongo. "Robustness analysis based on weight restrictions in data envelopment analysis". Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/11829.

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Includes bibliographical references.
Evaluating the performance of organisations is essential to good planning and control. Part of this process is monitoring the performance of organisations against their goals. The comparative efficiency of organizations using common inputs and outputs makes it possible for organizations to improve their performance so that can operate as the most efficient organizations. Resources and outputs can be very diversified in nature and it is complex to assess organizations using such resources and outputs. Data Envelopment Analysis models are designed to facilitate this of assessment and aim to evaluate the relative efficiency of organisations. Chapter 2 is dedicated to the basic Data Envelopment Analysis. We present the following: * A review of the Data Envelopment Analysis models; * The properties and particularities of each model. In chapter 3, we present our literature survey on restrictions. Data Envelopment Analysis is a value-free frontier which has the of yielding more objective efficiency measures. However, the complete freedom in the determination of weights for the factors and products) relevant to the assessment of organisations has led to some problems such as: zero-weights and lack of discrimination between efficient organizations. Weight restriction methods were introduced in order to tackle these problems. The first part of chapter 3 in detail the motivations for weight restrictions while the second part presents the actual weight restriction rnethods.

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Shi, H. (Henglin). "A GQM-based open research data technology evalution method in open research context". Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605221853.

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Open Research Data is gaining popularity nowadays, and various research units and individuals are interested to join this trend. However, due to variety of Open Research Data technologies, they have found it is difficult to select proper ones for their specific requirements. Thus, a method for evaluating of Open Research Data related technologies is developed in this study for researchers to select proper ones. Firstly, the theoretical knowledge of research data sharing and reusing barriers is resulted from a structured literature review. As a result, from the 19 primary studies, 96 instances of existing barriers are identified and classified to seven categories, where four of them are research data sharing barriers and rest of them are reusing barriers. This knowledge is regarded as an important resource for understanding researchers’ requirements on Open Research Data technologies, and utilized to develop the technology evaluation method. Additionally, the Open Research Data Technology Evaluation Method (ORDTEM) is developed basing on the Goal/Question/Metric (GQM) approach and resulted research data sharing and reusing barriers. To develop this method, the GQM approach is adopted as the main skeleton to transform these barriers to measurable criterion. Consequently, the ORDTEM, which is consisting of six GQM evaluation questions and 14 metrics, is developed for researchers to evaluate Open Research Data technologies. Furthermore, to validate the GQM-based ORDTEM, a focus groups study is conducted in a workshop. In the workshop, nine researchers who has the need to participate Open Research Data related activities are recruited to form a focus group to discuss the resulted ORDTEM. And by analysing the content of the discussion, 16 critical opinions are addressed which resulted eight improvements including one refinement on an existing metric and seven new metrics to ORDTEM. Lastly, a testing process of applying ORDTEM to evaluate four selected Open Research Data technologies is implemented also for validating whether it can be used in solving real-world evaluation tasks. And more than the validation, this experiment also results the materials about usage of ORDTEM, which is useful for future adopters. However, more than developing the solution to eliminate the difficulty of selecting technologies for participating Open Research Data movements, this study also provides two additional contributions. For one thing, resulted research data sharing and reusing barriers also direct the future effort to prompt Open Research Data and Open Science. Moreover, the experience of utilizing the GQM approach to transform existing requirements to evaluation criterion is possible to be studied for developing other requirement-specific evaluation.

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Wiréhn, Ann-Britt. "A Data-Rich World : Population‐based registers in healthcare research". Doctoral thesis, Linköpings universitet, Hälsa och samhälle, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10207.

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Advances and integration of information and communication technologies into healthcare systems offer new opportunities to improve public health worldwide. In Sweden, there are already unique possibilities for epidemiological research from registers because of a long tradition of centralized data collection into population-based registers and their allowance for linkage. The growing efficiency of automated digital storage provides growing volumes of archived data that increases the potential of analyses further. The purpose of this thesis can be divided into two parallel themes: illustrations and discussions of the use and usefulness of population-based registers on the one hand, and specific research questions in epidemiology and healthcare research on the other. The research questions are addressed in separate papers. From the Swedish Cancer Registry, 25 years of incidence data on testicular cancer was extracted for a large cohort. Record linkage to survey data on serum cholesterol showed a highly significant positive association, suggesting that elevated serum cholesterol concentration is a risk factor for testicular cancer. Since the finding is the first of its kind and because of wide confidence intervals further studies are needed to confirm the association. Östergötland County council’s administra-tive database (the Care Data Warehouse in Östergötland (CDWÖ)) provided data for preva-lence estimations of four common chronic diseases. The prevalence rate agreed very well with previous estimates for diabetes and fairly well with those for asthma. For hypertension and chronic obstructive pulmonary disease, the observed rates were lower than previous prevalence estimates. Data on several consecutive years covering all healthcare levels are needed to achieve valid prevalence estimates. CDWÖ data was also used to analyse the impact of diabetes on the prevalence of ischemic heart disease. Women had higher diabetes/non-diabetes prevalence rate ratios across all ages. The relative gender difference remained up to the age of 65 years and thereafter decreased considerably. The age-specific direct healthcare cost of diabetes was explored using data from the CDWÖ, the county council’s Cost Per Patient database and the Swedish Prescribed Drug Register. The cost per patient and the relative magnitude of different cost components varied considerably by age, which is important to consider in the future planning of diabetes management. The Cancer Registry was established mainly as a basis for epidemiological surveillance and research, exemplified in this thesis by a study on testicular cancer. In contrast, the newly established and planned healthcare databases in different Swedish counties are mainly for managerial purposes. As is shown in this thesis, these new databases may also be used to address problems in epidemiology and healthcare research.

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Gao, Cen. "Research in target specificity based on microRNA-target interaction data". Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1275685130.

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Fields, Evan(Evan Jerome). "Demand uncensored : car-sharing mobility services using data-driven and simulation-based techniques". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121825.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 141-145).
In the design and operation of urban mobility systems, it is often desirable to understand patterns in traveler demand. However, demand is typically unobserved and must be estimated from available data. To address this disconnect, we begin by proposing a method for recovering an unknown probability distribution given a censored or truncated sample from that distribution. The proposed method is a novel and conceptually simple detruncation technique based on sampling the observed data according to weights learned by solving a simulation-based optimization problem; this method is especially appropriate in cases where little analytic information about the unknown distribution is available but the truncation process can be simulated.
The proposed method is compared to the ubiquitous maximum likelihood (MLE) method in a variety of synthetic validation experiments where it is found that the proposed method performs slightly worse than perfectly specified MLE and competitively with slight misspecified MLE. We then describe a novel car-sharing simulator which captures many of the important interactions between supply, demand, and system utilization while remaining simple and computationally efficient. In collaboration with Zipcar, a leading car-sharing operator in the United States, we demonstrate the usefulness of our detruncation method combined with our simulator via a pair of case studies. These tools allow us to estimate demand for round trip car-sharing services in the Boston and New York metropolitan areas, and the inferred demand distributions contain actionable insights.
Finally, we extend the detruncation method to cover cases where data is noisy, missing, or must be combined from different sources such as web or mobile applications. In synthetic validation experiments, the extended method is benchmarked against kernel density estimation (KDE) with Gaussian kernels. We find that the proposed method typically outperforms KDE, especially when the distribution to be estimated is not unimodal. With this extended method we consider the added utility of search data when estimating demand for car-sharing.
by Evan Fields.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center

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Più fonti

Libri sul tema "Data base research"

Secretariat, Botswana Population. Bibliographic data base. [Gaborone]: Population Secretariat, 1997.

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Khan, Tasneem A. Data base on nuclear power plant dose reduction research projects. Washington, DC: Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1985.

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Roberts, Anne M. The catchment research data base at the Institute of Hydrology. Wallingford: Instituteof Hydrology, 1989.

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Nichols, Christine. Referrals research: A data base for neighbourhood services : [Christine Nichols. Manchester: Manchester Social Services, 1987.

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Johannes, Roseboom, e International Service for National Agricultural Research., a cura di. ISNAR agricultural research indicator series: A global data base on national agricultural research systems. Cambridge [England]: Cambridge University Press, 1989.

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Khan, Tasneem A. Data base on dose reduction research projects for nuclear power plants. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Ramsey, Lori J. Development of the automated instructional management system data set of the officer longitudinal research data base. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 1989.

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Muldavin, Esteban. Consolidated stand tables and biodiversity data base for Southwestern forest habitat types. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1990.

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Muldavin, Esteban H. Consolidated stand tables and biodiversity data base for Southwestern forest habitat types. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1990.

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United States Supreme Court judicial data base, phase II: User's guide. New York: P. Lang, 1997.

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Capitoli di libri sul tema "Data base research"

Ricketts, Ian. "Collating Your Research Data Base". In Managing Your Software Project, 29–42. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-0599-2_4.

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Lee, Sukho. "Data Base Research and Development in Korea". In Foundations of Data Organization, 607–9. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1881-1_51.

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Sergeant, P., e E. Lesaffre. "The K.U. Leuven Coronary Surgery Data Base: a clinical research data base". In Developments in Cardiovascular Medicine, 223–37. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3720-1_13.

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Guo, Dan, e Yu Zhang. "Research on Software Architecture Base on Data Snap Technology". In Advances in Intelligent and Soft Computing, 459–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25349-2_61.

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Bottrighi, Alessio, Giorgio Leonardi, Stefania Montani, Luigi Portinale e Paolo Terenziani. "Intelligent Data Interpretation and Case Base Exploration through Temporal Abstractions". In Case-Based Reasoning. Research and Development, 36–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14274-1_5.

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Zhou, Feng, Xiaonan Hu, Sheng Yan, Lina Zhu e Xia Fang. "A Meteorological Public Opinion Method Research Base on Deep Random Forest". In Advances in Intelligent Data Analysis and Applications, 159–68. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5036-9_18.

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Borner, Silvio. "Empirical Research Concept and Data Base of our Swiss Study". In Internationalization of Industry, 81–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71422-1_11.

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Sun, Jieli, Zhiqing Zhu, Yanpiao Zhang, Yanxia Zhao e Yao Zhai. "Research on Personalized Recommendation Case Base and Data Source Based on Case-Based Reasoning". In Cloud Computing and Security, 114–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00009-7_11.

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Koehler, Mark E., A. F. Kah e T. F. Niemann. "Applications of Computer Data Base Management in Polymer and Coatings Research". In ACS Symposium Series, 17–22. Washington, DC: American Chemical Society, 1986. http://dx.doi.org/10.1021/bk-1986-0313.ch003.

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Yang, Chenghui, Xing Peng, Zhongfu Luo e Zeyi Liu. "Different Ways of Research on Pricing Done Math Model Base on Big Data". In Advances in Intelligent Systems and Computing, 72–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00214-5_9.

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Atti di convegni sul tema "Data base research"

Tafur Arciniegas, M., e H. A. Diefes-Dux. "Data base development for school-related research". In 2013 IEEE Frontiers in Education Conference (FIE). IEEE, 2013. http://dx.doi.org/10.1109/fie.2013.6684954.

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Gonzales Martinez, Rosa, Jorge Morato Lara, Omar Hurtado Jara e Anabel Fraga Vasquez. "Data Base Reuse Methodology - ReTARI". In 2009 Third International Conference on Research Challenges in Information Science (RCIS). IEEE, 2009. http://dx.doi.org/10.1109/rcis.2009.5089301.

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Hassan, Md Redone, S. K. Obidul Kadir, Md Aminul Islam, Sheikh Abujar, Raihana Zannat e Ohidujjaman. "A Knowledge Base Data Mining based on Parkinson's Disease". In 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART). IEEE, 2019. http://dx.doi.org/10.1109/smart46866.2019.9117450.

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Ai-jun, Li, e Zhang Peng. "Research on Unbalanced Data Processing Algorithm Base Tomeklinks-Smote". In AIPR 2020: 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3430199.3430222.

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Xu, Weipeng. "Research on Bearing Fault Diagnosis Base on Deep Learning". In 2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE, 2021. http://dx.doi.org/10.1109/icaibd51990.2021.9459073.

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Li, Guoliang. "Session details: Research 13: Machine Learning & Knowledge-base Construction". In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3258020.

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Bugaj, Marek, e Rafal Przesmycki. "Analysis of HPM pulse with use of data base". In 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL). IEEE, 2017. http://dx.doi.org/10.1109/piers-fall.2017.8293275.

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Jin, Tao, e Hai-Jun Wang. "Research on the method of knowledge base question answering". In 2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2021. http://dx.doi.org/10.1109/mlbdbi54094.2021.00106.

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Suping, Xie, Chen Huaichu, Luo Nianlong e Zhang Huilin. "Research of Data Sharing between Applications Base on User Request". In 2015 7th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2015. http://dx.doi.org/10.1109/itme.2015.116.

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Wu Linli e ShenZhangyi. "Difference analysis of GPS data base sources based on vehicle location system". In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5764049.

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Rapporti di organizzazioni sul tema "Data base research"

Shore, Cecile, Judith C. Hushbeck, Gregory J. Palmer e Herbert G. Baker. TRACKER: A Prototype Anti-Terrorism Research Data Base. Fort Belvoir, VA: Defense Technical Information Center, ottobre 1987. http://dx.doi.org/10.21236/ada187361.

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Noznisky, Anne, Lori Ramsey e Dianne D. Younkman. Development of the Enlisted Panel Research Data Base. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1990. http://dx.doi.org/10.21236/ada219865.

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Hunter, Fumiyo T., Douglas L. Rachford, Dennis R. Kelly e Douglas Duncan. U.S. Army Research Institute Officer Longitudinal Research Data Base (OLRDB) User's Manual. Fort Belvoir, VA: Defense Technical Information Center, settembre 1987. http://dx.doi.org/10.21236/ada190588.

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Ramsey, Lori J., Karen L. Fertig e Dianne D. Younkman. Update of the U.S. Army Research Institute's Officer Longitudinal Research Data Base. Fort Belvoir, VA: Defense Technical Information Center, ottobre 1993. http://dx.doi.org/10.21236/ada273168.

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Ramsey, Lori J., Barbara T. Urynowicz e Dianne D. Younkman. Update of the U.S. Army Research Institute's Longitudinal Research Data Base of Enlisted Personnel. Fort Belvoir, VA: Defense Technical Information Center, agosto 1992. http://dx.doi.org/10.21236/ada255965.

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Merriam, N. W. Transfer of oil shale research data into the Morgantown Energy Technology Center data base. Office of Scientific and Technical Information (OSTI), settembre 1987. http://dx.doi.org/10.2172/5696908.

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Younkman, Dianne D., Lori G. Ramsey e Tanya J. Guthrie. Evaluation to Redesign a Prototype Officer Data Base for Interdisciplinary Research. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1992. http://dx.doi.org/10.21236/ada247919.

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Ramsey, Lori J., Karen L. Fertig e Dianne D. Younkman. Development of the U.S. Army Research Institute's Officer Administrative Data Base: Appendixes. Fort Belvoir, VA: Defense Technical Information Center, ottobre 1993. http://dx.doi.org/10.21236/ada277679.

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Bussey, Allan J., John R. Roadcap, Robert R. Beland, George Y. Jumper e Jr. Master Data Base for Optical Turbulence Research in Support of Airborne Laser. Fort Belvoir, VA: Defense Technical Information Center, aprile 2000. http://dx.doi.org/10.21236/ada387413.

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Ramsey, Lori J., e Dianne D. Younkman. Development of the Automated Instructional Management System Data Set of the Officer Longitudinal Research Data Base. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1989. http://dx.doi.org/10.21236/ada207213.

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