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Rozprawy doktorskie na temat „Data management”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Morshedzadeh, Iman. "Data Classification in Product Data Management." Thesis, Högskolan i Skövde, Institutionen för teknik och samhälle, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-14651.

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This report is about the product data classification methodology that is useable for the Volvo Cars Engine (VCE) factory's production data, and can be implemented in the Teamcenter software. There are many data generated during the life cycle of each product, and companies try to manage these data with some product data management software. Data classification is a part of data management for most effective and efficient use of data. With surveys that were done in this project, items affecting the data classification have been found. Data, attributes, classification method, Volvo Cars Engine f
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Yang, Ying. "Interactive Data Management and Data Analysis." Thesis, State University of New York at Buffalo, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10288109.

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<p> Everyone today has a big data problem. Data is everywhere and in different formats, they can be referred to as data lakes, data streams, or data swamps. To extract knowledge or insights from the data or to support decision-making, we need to go through a process of collecting, cleaning, managing and analyzing the data. In this process, data cleaning and data analysis are two of the most important and time-consuming components. </p><p> One common challenge in these two components is a lack of interaction. The data cleaning and data analysis are typically done as a batch process, operati
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Mathew, Avin D. "Asset management data warehouse data modelling." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/19310/1/Avin_Mathew_Thesis.pdf.

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Data are the lifeblood of an organisation, being employed by virtually all business functions within a firm. Data management, therefore, is a critical process in prolonging the life of a company and determining the success of each of an organisation’s business functions. The last decade and a half has seen data warehousing rising in priority within corporate data management as it provides an effective supporting platform for decision support tools. A cross-sectional survey conducted by this research showed that data warehousing is starting to be used within organisations for their engineering
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Mathew, Avin D. "Asset management data warehouse data modelling." Queensland University of Technology, 2008. http://eprints.qut.edu.au/19310/.

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Data are the lifeblood of an organisation, being employed by virtually all business functions within a firm. Data management, therefore, is a critical process in prolonging the life of a company and determining the success of each of an organisation’s business functions. The last decade and a half has seen data warehousing rising in priority within corporate data management as it provides an effective supporting platform for decision support tools. A cross-sectional survey conducted by this research showed that data warehousing is starting to be used within organisations for their engineering
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Sehat, Mahdis, and FLORES RENÉ PAVEZ. "Customer Data Management." Thesis, KTH, Industriell ekonomi och organisation (Avd.), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109251.

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Abstract As the business complexity, number of customers continues to grow and customers evolve into multinational organisations that operate across borders, many companies are faced with great challenges in the way they manage their customer data. In today’s business, a single customer may have a relationship with several entities of an organisation, which means that the customer data is collected through different channels. One customer may be described in different ways by each entity, which makes it difficult to obtain a unified view of the customer. In companies where there are several so
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Scott, Mark. "Research data management." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/374711/.

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Scientists within the materials engineering community produce a wide variety of data, ranging from large 3D volume densitometry files (voxel) generated by microfocus computer tomography (μCT) to simple text files containing results from tensile tests. Increasingly they need to share this data as part of international collaborations. The design of a suitable database schema and the architecture of a flexible system that can cope with the varying information is a continuing problem in the management of heterogeneous data. We discuss the issues with managing such varying data, and present a model
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Tran, Viet-Trung. "Scalable data-management systems for Big Data." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00920432.

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Big Data can be characterized by 3 V's. * Big Volume refers to the unprecedented growth in the amount of data. * Big Velocity refers to the growth in the speed of moving data in and out management systems. * Big Variety refers to the growth in the number of different data formats. Managing Big Data requires fundamental changes in the architecture of data management systems. Data storage should continue being innovated in order to adapt to the growth of data. They need to be scalable while maintaining high performance regarding data accesses. This thesis focuses on building scalable data manage
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Schnyder, Martin. "Web 2.0 data management." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, Institute of Information Systems, Global Information Systems Group, 2008. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=403.

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He, Ying Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Spatial data quality management." Publisher:University of New South Wales. Surveying & Spatial Information Systems, 2008. http://handle.unsw.edu.au/1959.4/43323.

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The applications of geographic information systems (GIS) in various areas have highlighted the importance of data quality. Data quality research has been given a priority by GIS academics for three decades. However, the outcomes of data quality research have not been sufficiently translated into practical applications. Users still need a GIS capable of storing, managing and manipulating data quality information. To fill this gap, this research aims to investigate how we can develop a tool that effectively and efficiently manages data quality information to aid data users to better understand a
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Voigt, Hannes. "Flexibility in Data Management." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-136681.

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With the ongoing expansion of information technology, new fields of application requiring data management emerge virtually every day. In our knowledge culture increasing amounts of data and work force organized in more creativity-oriented ways also radically change traditional fields of application and question established assumptions about data management. For instance, investigative analytics and agile software development move towards a very agile and flexible handling of data. As the primary facilitators of data management, database systems have to reflect and support these developments. H
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Nguyen, Benjamin. "Privacy-Centric Data Management." Habilitation à diriger des recherches, Université de Versailles-Saint Quentin en Yvelines, 2013. http://tel.archives-ouvertes.fr/tel-00936130.

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This document will focus on my core computer science research since 2010, covering the topic of data management and privacy. More speci cally, I will present the following topics : -ˆ A new paradigm, called Trusted Cells for privacy-centric personal data management based on the Asymmetric Architecture composed of trusted or open (low power) distributed hardware devices acting as personal data servers and a highly powerful, highly available supporting server, such as a cloud. (Chapter 2). ˆ- Adapting aggregate data computation techniques to the Trusted Cells environment, with the example of Pri
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Monk, Kitty A. "Data management in MARRS." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9939.

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Uichanco, Joline Ann Villaranda. "Data-driven revenue management." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41728.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007.<br>Includes bibliographical references (p. 125-127).<br>In this thesis, we consider the classical newsvendor model and various important extensions. We do not assume that the demand distribution is known, rather the only information available is a set of independent samples drawn from the demand distribution. In particular, the variants of the model we consider are: the classical profit-maximization newsvendor model, the risk-averse newsvendor model and the price-setting newsvendor mode
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14

Garling, James, and David Cahill. "ENTERPRISE DATA MANAGEMENT SYSTEMS." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605813.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>This paper discusses ongoing regulatory effects on efforts aimed at developing data infrastructures that assist test engineers in achieving information superiority and for maintaining their information, and on possible architectural frameworks for resolving the engineer’s need versus the regulatory requirements. Since current commercial-off-the-shelf (COTS) Enterprise Content Management (ECM) systems are targeted primarily at business environments such as back off
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15

Anumalla, Kalyani. "DATA PREPROCESSING MANAGEMENT SYSTEM." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1196650015.

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Domingues, Sérgio Rafael de Oliveira. "Market Data information management." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/1740.

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Mestrado em Engenharia e Gestão Industrial<br>O presente relatório de projecto resulta de um estágio curricular realizado na empresa Bosch Termotecnologia, S.A. em Cacia, ao longo de oito meses. O trabalho realizado consistiu numa recolha de informação oriunda de vários mercados, a fim de se organizar e disponibilizar a mesma, inicialmente a nível interno e depois às restantes filiais. A apresentação deste relatório de projecto foi feita em quatro capítulos. No primeiro foi feito um enquadramento teórico dos Sistemas de Informação (SI) nas organizações, no segundo foi efectuada a apresentaçã
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Jäkel, Tobias. "Role-based Data Management." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-224416.

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Database systems build an integral component of today’s software systems and as such they are the central point for storing and sharing a software system’s data while ensuring global data consistency at the same time. Introducing the primitives of roles and their accompanied metatype distinction in modeling and programming languages, results in a novel paradigm of designing, extending, and programming modern software systems. In detail, roles as modeling concept enable a separation of concerns within an entity. Along with its rigid core, an entity may acquire various roles in different context
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Öhman, Mikael. "a Data-Warehouse Solution for OMS Data Management." Thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80688.

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A database system for storing and querying data of a dynamic schema has been developed based on the kdb+ database management system and the q programming language for use in a financial setting of order and execution services. Some basic assumptions of mandatory fields of the data to be stored are made including that the data are time-series based.A dynamic schema enables an Order-Management System (OMS) to store information not suitable or usable when stored in log files or traditional databases. Log files are linear, cannot be queried effectively and are not suitable for the volumes produced
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Wang, Yi. "Data Management and Data Processing Support on Array-Based Scientific Data." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1436157356.

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Parviainen, A. (Antti). "Product portfolio management requirements for product data management." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201409021800.

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In large organisations today the amount of products is numerous and it is challenging for senior management to have proper control and understanding over all products. As the product is the most important aspect for an organisation to consider, senior management must have ability to manage investments on products and follow development of product related indicators. Managing products as investment on portfolio level, where products are divided into a limited amount of portfolios is a solution for achieving decent control over product investments on senior management level. Product portfolio m
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21

Donohue, Christine M. Hayes Gregory A. Dolk Daniel R. Bui Tung X. "Data management : implementation and lessons learned from Department of the Army data management program /." Monterey, Calif. : Springfield,Va. : Naval Postgraduate School; Available from the National Technical Information Service, 1992. http://handle.dtic.mil/100.2/ADA257858.

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Donohue, Christine M. "Data management : implementation and lessons learned from Department of the Army data management program." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/30610.

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Approved for public release; distribution is unlimited.<br>Information systems executives within Department of Defense (DoD) activities are being challenged to develop innovative ways in which information technology can contribute to the streamlining of DoD organizations. A key step in developing information systems that will meet the future needs of DoD organizations is to manage the data resource. This thesis examines the concepts, implementation strategies, and issues relating to data management and illustrates, using a case study of the Department of the Army data management methodology, t
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Saravanan, Mahesh. "Expressions as Data in Relational Data Base Management Systems." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/500.

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Numerous applications, such as publish/subscribe, website personalization, applications involving continuous queries, etc., require that user.s interest be persistently maintained and matched with the expected data. Conditional Expressions can be used to maintain user interests. This thesis focuses on the support for expression data type in relational database system, allowing storing of conditional expressions as .data. in columns of database tables and evaluating those expressions using an EVALUATE operator. With this context, expressions can be interpreted as descriptions, queries, an
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Melander, Lars. "Integrating Visual Data Flow Programming with Data Stream Management." Doctoral thesis, Uppsala universitet, Datalogi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-286536.

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Data stream management and data flow programming have many things in common. In both cases one wants to transfer possibly infinite sequences of data items from one place to another, while performing transformations to the data. This Thesis focuses on the integration of a visual programming language with a data stream management system (DSMS) to support the construction, configuration, and visualization of data stream applications. In the approach, analyses of data streams are expressed as continuous queries (CQs) that emit data in real-time. The LabVIEW visual programming platform has been ada
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Tatarinov, Igor. "Semantic data sharing with a peer data management system /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6942.

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Ofori-Duodu, Michael Samuel. "Exploring Data Security Management Strategies for Preventing Data Breaches." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7947.

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Insider threat continues to pose a risk to organizations, and in some cases, the country at large. Data breach events continue to show the insider threat risk has not subsided. This qualitative case study sought to explore the data security management strategies used by database and system administrators to prevent data breaches by malicious insiders. The study population consisted of database administrators and system administrators from a government contracting agency in the northeastern region of the United States. The general systems theory, developed by Von Bertalanffy, was used as the co
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Tudoran, Radu-Marius. "High-Performance Big Data Management Across Cloud Data Centers." Electronic Thesis or Diss., Rennes, École normale supérieure, 2014. http://www.theses.fr/2014ENSR0004.

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La puissance de calcul facilement accessible offerte par les infrastructures clouds, couplés à la révolution du "Big Data", augmentent l'échelle et la vitesse auxquelles l'analyse des données est effectuée. Les ressources de cloud computing pour le calcul et le stockage sont répartis entre plusieurs centres de données de par le monde. Permettre des transferts de données rapides devient particulièrement important dans le cadre d'applications scientifiques pour lesquels déplacer le traitement proche de données est coûteux voire impossible. Les principaux objectifs de cette thèse consistent à ana
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Heerde, Harold Johann Wilhelm van. "Privacy-aware data management by means of data degradation." Versailles-St Quentin en Yvelines, 2010. http://www.theses.fr/2010VERS0031.

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Les fournisseurs de services recueillent de plus en plus d'informations personnelles sensibles, bien qu’il soit réputé comme très difficile de protéger efficacement ces informations contre le pira-tage, la fuite d’information par négligence, le contournement de chartes de confidentialité peu précises, et les usages abusifs d’administrateurs de données peu scrupuleux. Dans cette thèse, nous conjecturons qu’une rétention sans limite de données sensibles dans une base de données mènera inévitablement à une divulgation non autorisée de ces données. Limiter dans le temps la rétention d'informations
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Lee, Yong Woo. "Data aggregation for capacity management." Thesis, [College Station, Tex. : Texas A&M University, 2003. http://hdl.handle.net/1969.1/90.

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Thesis (M.S.)--Texas A&M University, 2003.<br>"Major Subject: Industrial Engineering" Title from author supplied metadata (automated record created on Jul. 18, 2005.) Vita. Abstract. Includes bibliographical references.
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Herrmann, Kai. "Multi-Schema-Version Data Management." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-231946.

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Modern agile software development methods allow to continuously evolve software systems by easily adding new features, fixing bugs, and adapting the software to changing requirements and conditions while it is continuously used by the users. A major obstacle in the agile evolution is the underlying database that persists the software system’s data from day one on. Hence, evolving the database schema requires to evolve the existing data accordingly—at this point, the currently established solutions are very expensive and error-prone and far from agile. In this thesis, we present InVerDa, a mul
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Matus, Castillejos Abel, and n/a. "Management of Time Series Data." University of Canberra. Information Sciences & Engineering, 2006. http://erl.canberra.edu.au./public/adt-AUC20070111.095300.

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Every day large volumes of data are collected in the form of time series. Time series are collections of events or observations, predominantly numeric in nature, sequentially recorded on a regular or irregular time basis. Time series are becoming increasingly important in nearly every organisation and industry, including banking, finance, telecommunication, and transportation. Banking institutions, for instance, rely on the analysis of time series for forecasting economic indices, elaborating financial market models, and registering international trade operations. More and more time series are
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Deshmukh, Pritam. "Data uncertainity in bridge management." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4510.

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Thesis (M.S.) University of Missouri-Columbia, 2006.<br>The 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 (May 20, 2007) Vita. Includes bibliographical references.
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Wang, Yanchao. "Protein Structure Data Management System." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_diss/20.

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With advancement in the development of the new laboratory instruments and experimental techniques, the protein data has an explosive increasing rate. Therefore how to efficiently store, retrieve and modify protein data is becoming a challenging issue that most biological scientists have to face and solve. Traditional data models such as relational database lack of support for complex data types, which is a big issue for protein data application. Hence many scientists switch to the object-oriented databases since object-oriented nature of life science data perfectly matches the architecture of
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Chiu, Chao-Ying. "Visualization of construction management data." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37903.

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To date, the research and development effort as reported in the literature for presenting input/output data in support of human judgment for conducting construction management (CM) functions and associated tasks has been relatively limited. In practice, CM practitioners often find it difficult to digest and interpret input/output information because of the sheer volume and high dimensionality of data. One way to address this need is to improve the data reporting capability of a construction management information system, which traditionally focuses mainly on using tabular/textual reports. Data
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Bansal, Dheeraj Kumar. "Non-identifying Data Management Systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172351.

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In this thesis we performed an initial analysis of a single business process fromadministrative data management, with respect to identifying the need to bindauthenticated identities to actions at the different steps of the process. Based onthis analysis we proposed a new model for the business process. We evaluatedour model with different evaluation criteria, set during the initial phase. Basedon discussion with the stakeholders, we arrived at the conclusion that eventhough our proposed system solves a lot of privacy related problems for thestakeholders, in case of business processes, it is no
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Harley, Samuel, Michael Reil, Thea Blunt-Henderson, and George Bartlett. "Data, Information, and Knowledge Management." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604784.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>The Aberdeen Test Center Versatile Information System – Integrated, ONline (VISION) project has developed and deployed a telemetry capability based upon modular instrumentation, seamless communications, and the VISION Digital Library. Each of the three key elements of VISION contributes to a holistic solution to the data collection, distribution, and management requirements of Test and Eva
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Okkonen, O. (Olli). "RESTful clinical data management system." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201505291735.

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Elämme digitalisaation aikakautta, jolloin tietokoneiden avulla on mahdollista saavuttaa kustannustehokkuutta ja automaatio tiedonhallintaan. Kliiniset tutkimukset eivät ole onnistuneet pysymään mukana teknologiakehityksessä vaan turvautuvat yhä perinteisiin paperisiin keinoihin, mikä hidastaa ja vaikeuttaa tiedon hallintaa suurina määrinä viivästyttäen tutkimuksen loppuanalyysia. Suurimmat syyt tähän ovat olleen kehnot ohjelmistojen laadut, tietotaidon puute sekä epäonnistuneet käyttöönotot organisaation tasolla. Tämä diplomityö esittelee Genesiksen, web-pohjaisen kliinisen tiedonhallintajärj
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Owen, J. "Data management in engineering design." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/385838/.

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Engineering design involves the production of large volumes of data. These data are a sophisticated mix of high performance computational and experimental results, and must be managed, shared and distributed across worldwide networks. Given limited storage and networking bandwidth, but rapidly growing rates of data production, effective data management is becoming increasingly critical. Within the context of Airbus, a leading aerospace engineering company, this thesis bridges the gap between academia and industry in the management of engineering data. It explores the high performance computing
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Ingnäs, Joakim, Mikael Söderberg, Nicole Tutsch, and Conrad Åslund. "Digitized management of flight data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-327984.

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Digital flight logs were created through the use of an already existing application called Open Glider Network. Open Glider Network's system allows collection of data from airplanes that have FLARM installed. FLARM, which is an acronym for Flight Alarm, is the current safety precaution used to prevent collision between smaller aircraft. In addition, it also registers measurements such as the aircraft’s speed, altitude, and position. This project focuses on the use of collected data from the FLARM system to create digitized flight logs for Stockholms Segelflygklubb, made available through a web
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Mühlberger, Ralf Maximilian. "Data management for interoperable systems /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16277.pdf.

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El, Husseini Wafaa. "Efficient ontology-based data management." Electronic Thesis or Diss., Université de Rennes (2023-....), 2023. https://ged.univ-rennes1.fr/nuxeo/site/esupversions/afaf2edb-f3f2-4765-b1e1-9c960c6a60b4.

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Répondre à des requêtes à l'aide d'ontologies (OMQA) consiste à poser ces requêtes sur des bases de connaissances (KB). Une KB est un ensemble de faits (base de données), qui est décrit par un domaine de connaissance (ontologie). La technique OMQA la plus étudiée est la réécriture FO (FO-rewriting); elle consiste à reformuler une requête pour y intégrer les connaissances pertinentes de l'ontologie, avant de poser la sur la base de données. Telles reformulations peuvent alors être complexes et leur optimisation est cruciale pour l'efficacité. Nous élaborons un nouveau cadre d'optimisation pour
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Antonov, Anton. "Product Information Management." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150108.

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Product Information Management (PIM) is a field that deals with the product master data management and combines into one base the experience and the principles of data integration and data quality. Product Information Management merges the specific attributes of products across all channels in the supply chain. By unification, centralization and standardization of product information into one platform, quality and timely information with added value can be achieved. The goal of the theoretical part of the thesis is to construct a picture of the PIM, to place the PIM into a broader context, to
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Angeles, Maria del Pilar. "Management of data quality when integrating data with known provenance." Thesis, Heriot-Watt University, 2007. http://hdl.handle.net/10399/64.

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Kalibjian, Jeff. ""Big Data" Management and Security Application to Telemetry Data Products." International Foundation for Telemetering, 2013. http://hdl.handle.net/10150/579664.

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ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV<br>"Big Data" [1] and the security challenge of managing "Big Data" is a hot topic in the IT world. The term "Big Data" is used to describe very large data sets that cannot be processed by traditional database applications in "tractable" periods of time. Securing data in a conventional database is challenge enough; securing data whose size may exceed hundreds of terabytes or even petabytes is even mo
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Tatikonda, Shirish. "Towards Efficient Data Analysis and Management of Semi-structured Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414859.

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Diallo, Thierno Mahamoudou. "Discovering data quality rules in a master data management context." Thesis, Lyon, INSA, 2013. http://www.theses.fr/2013ISAL0067.

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Le manque de qualité des données continue d'avoir un impact considérable pour les entreprises. Ces problèmes, aggravés par la quantité de plus en plus croissante de données échangées, entrainent entre autres un surcoût financier et un rallongement des délais. De ce fait, trouver des techniques efficaces de correction des données est un sujet de plus en plus pertinent pour la communauté scientifique des bases de données. Par exemple, certaines classes de contraintes comme les Dépendances Fonctionnelles Conditionnelles (DFCs) ont été récemment introduites pour le nettoyage de données. Les méthod
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Schubert, Chris, Georg Seyerl, and Katharina Sack. "Dynamic Data Citation Service-Subset Tool for Operational Data Management." MDPI, 2019. http://dx.doi.org/10.3390/data4030115.

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In earth observation and climatological sciences, data and their data services grow on a daily basis in a large spatial extent due to the high coverage rate of satellite sensors, model calculations, but also by continuous meteorological in situ observations. In order to reuse such data, especially data fragments as well as their data services in a collaborative and reproducible manner by citing the origin source, data analysts, e.g., researchers or impact modelers, need a possibility to identify the exact version, precise time information, parameter, and names of the dataset used. A manua
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Fernández, Moctezuma Rafael J. "A Data-Descriptive Feedback Framework for Data Stream Management Systems." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/116.

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Data Stream Management Systems (DSMSs) provide support for continuous query evaluation over data streams. Data streams provide processing challenges due to their unbounded nature and varying characteristics, such as rate and density fluctuations. DSMSs need to adapt stream processing to these changes within certain constraints, such as available computational resources and minimum latency requirements in producing results. The proposed research develops an inter-operator feedback framework, where opportunities for run-time adaptation of stream processing are expressed in terms of descriptions
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Zhang, Yanling. "From theory to practice : environmental management in China /." Berlin : wvb, 2005. http://www.wvberlin.de/data/inhalt/zhang.htm.

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Lehmann, Marek. "Data access in workflow management systems /." Berlin : Aka, 2006. http://aleph.unisg.ch/hsgscan/hm00172711.pdf.

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