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Tesi sul tema "Data integration"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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1

Nadal, Francesch Sergi. "Metadata-driven data integration." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/666947.

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Abstract (sommario):
Data has an undoubtable impact on society. Storing and processing large amounts of available data is currently one of the key success factors for an organization. Nonetheless, we are recently witnessing a change represented by huge and heterogeneous amounts of data. Indeed, 90% of the data in the world has been generated in the last two years. Thus, in order to carry on these data exploitation tasks, organizations must first perform data integration combining data from multiple sources to yield a unified view over them. Yet, the integration of massive and heterogeneous amounts of data requires
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2

Jakonienė, Vaida. "Integration of biological data /." Linköping : Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7484.

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3

Akeel, Fatmah Y. "Secure data integration systems." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/415716/.

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Abstract (sommario):
As the web moves increasingly towards publishing data, a significant challenge arises when integrating data from diverse sources that have heterogeneous security and privacy policies and requirements. Data Integration Systems (DIS) are concerned with integrating data from multiple data sources to resolve users' queries. DIS are prone to data leakage threats, e.g. unauthorised disclosure or secondary use of the data, that compromise the data's confidentiality and privacy. We claim that these threats are caused by the failure to implement or correctly employ confidentiality and privacy technique
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4

Eberius, Julian. "Query-Time Data Integration." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-191560.

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Today, data is collected in ever increasing scale and variety, opening up enormous potential for new insights and data-centric products. However, in many cases the volume and heterogeneity of new data sources precludes up-front integration using traditional ETL processes and data warehouses. In some cases, it is even unclear if and in what context the collected data will be utilized. Therefore, there is a need for agile methods that defer the effort of integration until the usage context is established. This thesis introduces Query-Time Data Integration as an alternative concept to tradition
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5

Jakonienė, Vaida. "Integration of Biological Data." Doctoral thesis, Linköpings universitet, IISLAB - Laboratoriet för intelligenta informationssystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7484.

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Abstract (sommario):
Data integration is an important procedure underlying many research tasks in the life sciences, as often multiple data sources have to be accessed to collect the relevant data. The data sources vary in content, data format, and access methods, which often vastly complicates the data retrieval process. As a result, the task of retrieving data requires a great deal of effort and expertise on the part of the user. To alleviate these difficulties, various information integration systems have been proposed in the area. However, a number of issues remain unsolved and new integration solutions are ne
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6

Peralta, Veronika. "Data Quality Evaluation in Data Integration Systems." Phd thesis, Université de Versailles-Saint Quentin en Yvelines, 2006. http://tel.archives-ouvertes.fr/tel-00325139.

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Les besoins d'accéder, de façon uniforme, à des sources de données multiples, sont chaque jour plus forts, particulièrement, dans les systèmes décisionnels qui ont besoin d'une analyse compréhensive des données. Avec le développement des Systèmes d'Intégration de Données (SID), la qualité de l'information est devenue une propriété de premier niveau de plus en plus exigée par les utilisateurs. Cette thèse porte sur la qualité des données dans les SID. Nous nous intéressons, plus précisément, aux problèmes de l'évaluation de la qualité des données délivrées aux utilisateurs en réponse à leurs re
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7

Peralta, Costabel Veronika del Carmen. "Data quality evaluation in data integration systems." Versailles-St Quentin en Yvelines, 2006. http://www.theses.fr/2006VERS0020.

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This thesis deals with data quality evaluation in Data Integration Systems (DIS). Specifically, we address the problems of evaluating the quality of the data conveyed to users in response to their queries and verifying if users’ quality expectations can be achieved. We also analyze how quality measures can be used for improving the DIS and enforcing data quality. Our approach consists in studying one quality factor at a time, analyzing its impact within a DIS, proposing techniques for its evaluation and proposing improvement actions for its enforcement. Among the quality factors that have been
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8

Neumaier, Sebastian, Axel Polleres, Simon Steyskal, and Jürgen Umbrich. "Data Integration for Open Data on the Web." Springer International Publishing AG, 2017. http://dx.doi.org/10.1007/978-3-319-61033-7_1.

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In this lecture we will discuss and introduce challenges of integrating openly available Web data and how to solve them. Firstly, while we will address this topic from the viewpoint of Semantic Web research, not all data is readily available as RDF or Linked Data, so we will give an introduction to different data formats prevalent on the Web, namely, standard formats for publishing and exchanging tabular, tree-shaped, and graph data. Secondly, not all Open Data is really completely open, so we will discuss and address issues around licences, terms of usage associated with Open Data, as
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9

Cheng, Hui. "Data integration and visualization for systems biology data." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77250.

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Abstract (sommario):
Systems biology aims to understand cellular behavior in terms of the spatiotemporal interactions among cellular components, such as genes, proteins and metabolites. Comprehensive visualization tools for exploring multivariate data are needed to gain insight into the physiological processes reflected in these molecular profiles. Data fusion methods are required to integratively study high-throughput transcriptomics, metabolomics and proteomics data combined before systems biology can live up to its potential. In this work I explored mathematical and statistical methods and visualization tools t
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10

Hackl, Peter, and Michaela Denk. "Data Integration: Techniques and Evaluation." Austrian Statistical Society, 2004. http://epub.wu.ac.at/5631/1/435%2D1317%2D1%2DSM.pdf.

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Within the DIECOFIS framework, ec3, the Division of Business Statistics from the Vienna University of Economics and Business Administration and ISTAT worked together to find methods to create a comprehensive database of enterprise data required for taxation microsimulations via integration of existing disparate enterprise data sources. This paper provides an overview of the broad spectrum of investigated methodology (including exact and statistical matching as well as imputation) and related statistical quality indicators, and emphasises the relevance of data integration, especially fo
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11

Kerr, W. Scott. "Data integration using virtual repositories." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0005/MQ45950.pdf.

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12

Bauckmann, Jana. "Dependency discovery for data integration." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6664/.

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Data integration aims to combine data of different sources and to provide users with a unified view on these data. This task is as challenging as valuable. In this thesis we propose algorithms for dependency discovery to provide necessary information for data integration. We focus on inclusion dependencies (INDs) in general and a special form named conditional inclusion dependencies (CINDs): (i) INDs enable the discovery of structure in a given schema. (ii) INDs and CINDs support the discovery of cross-references or links between schemas. An IND “A in B” simply states that all values of attri
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13

Krisnadhi, Adila Alfa. "Ontology Pattern-Based Data Integration." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1453177798.

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14

Braunschweig, Katrin, Julian Eberius, Maik Thiele, and Wolfgang Lehner. "Frontiers in Crowdsourced Data Integration." De Gruyter, 2012. https://tud.qucosa.de/id/qucosa%3A72850.

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There is an ever-increasing amount and variety of open web data available that is insufficiently examined or not considered at all in decision making processes. This is because of the lack of end-user friendly tools that help to reuse this public data and to create knowledge out of it. Therefore, we propose a schema-optional data repository that provides the flexibility necessary to store and gradually integrate heterogeneous web data. Based on this repository, we propose a semi-automatic schema enrichment approach that efficiently augments the data in a “pay-as-you-go” fashion. Due to the inh
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15

Nagyová, Barbora. "Data integration in large enterprises." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203918.

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Abstract (sommario):
Data Integration is currently an important and complex topic for many companies, because having a good and working Data Integration solution can bring multiple advantages over competitors. Data Integration is usually being executed in a form of a project, which might easily turn into failure. In order to decrease risks and negative impact of a failed Data Integration project, there needs to be good project management, Data Integration knowledge and the right technology in place. This thesis provides a framework for setting up a good Data Integration solution. The framework is developed based o
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16

Tallur, Gayatri. "Uncertain data integration with probabilities." Thesis, The University of North Carolina at Greensboro, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1551297.

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<p> Real world applications that deal with information extraction, such as business intelligence software or sensor data management, must often process data provided with varying degrees of uncertainty. Uncertainty can result from multiple or inconsistent sources, as well as approximate schema mappings. Modeling, managing and integrating uncertain data from multiple sources has been an active area of research in recent years. In particular, data integration systems free the user from the tedious tasks of finding relevant data sources, interacting with each source in isolation using its corresp
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17

CALABRIA, ANDREA. "Data integration for clinical genomics." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19219.

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Genetics and Molecular Biology are keys for the understanding the mechanisms of many of the human diseases that have strong harmful effects. The empirical mission of Genetics is to translate these mechanisms into Clinical benefits, thus bridging in-silico findings to patient bed side: approaching this goal means achieving what is commonly referred as clinical genomics or personalized medicine. In this process, technologies are assuming an increasing role. With the introduction of new experimental platforms (microarrays, sequencing, etc), today's analyses are much more detailed and can cover
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18

Al-Mutairy, Badr. "Data mining and integration of heterogeneous bioinformatics data sources." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54178/.

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In this thesis, we have presented a novel approach to interoperability based on the use of biological relationships that have used relationship-based integration to integrate bioinformatics data sources; this refers to the use of different relationship types with different relationship closeness values to link gene expression datasets with other information available in public bioinformatics data sources. These relationships provide flexible linkage for biologists to discover linked data across the biological universe. Relationship closeness is a variable used to measure the closeness of the b
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19

Fan, Hao. "Investigating a heterogeneous data integration approach for data warehousing." Thesis, Birkbeck (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424299.

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20

Serra, Angela. "Multi-view learning and data integration for omics data." Doctoral thesis, Universita degli studi di Salerno, 2017. http://hdl.handle.net/10556/2580.

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2015 - 2016<br>In recent years, the advancement of high-throughput technologies, combined with the constant decrease of the data-storage costs, has led to the production of large amounts of data from different experiments that characterise the same entities of interest. This information may relate to specific aspects of a phenotypic entity (e.g. Gene expression), or can include the comprehensive and parallel measurement of multiple molecular events (e.g., DNA modifications, RNA transcription and protein translation) in the same samples. Exploiting such complex and rich data is needed in the frame
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21

Sutiwaraphun, Janjao. "Knowledge integration in distributed data mining." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/8924.

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22

Williams, Dean Ashley. "Combining data integration and information extraction." Thesis, Birkbeck (University of London), 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499152.

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23

Morris, Christopher Robert. "Data integration in the rail domain." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8204/.

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Abstract (sommario):
The exchange of information is crucial to the operation of railways; starting with the distribution of timetables, information must constantly be exchanged in any railway network. The slow evolution of the information environment within the rail industry has resulted in the existence of a diverse range of systems, only able to exchange information essential to railway operations. Were the cost of data integration reduced, then further cost reductions and improvements to customer service would follow as barriers to the adoption of other technologies are removed. The need for data integration ha
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24

Silva, Luís António Bastião. "Federated architecture for biomedical data integration." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15759.

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Doutoramento Ciências da Computação<br>The last decades have been characterized by a continuous adoption of IT solutions in the healthcare sector, which resulted in the proliferation of tremendous amounts of data over heterogeneous systems. Distinct data types are currently generated, manipulated, and stored, in the several institutions where patients are treated. The data sharing and an integrated access to this information will allow extracting relevant knowledge that can lead to better diagnostics and treatments. This thesis proposes new integration models for gathering information
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25

Sernadela, Pedro Miguel Lopes. "Data integration services for biomedical applications." Doctoral thesis, Universidade de Aveiro, 2018. http://hdl.handle.net/10773/23511.

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Doutoramento em Informática (MAP-i)<br>In the last decades, the field of biomedical science has fostered unprecedented scientific advances. Research is stimulated by the constant evolution of information technology, delivering novel and diverse bioinformatics tools. Nevertheless, the proliferation of new and disconnected solutions has resulted in massive amounts of resources spread over heterogeneous and distributed platforms. Distinct data types and formats are generated and stored in miscellaneous repositories posing data interoperability challenges and delays in discoveries. Data sh
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26

Mishra, Alok. "Data integration for regulatory module discovery." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/10615.

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Genomic data relating to the functioning of individual genes and their products are rapidly being produced using many different and diverse experimental techniques. Each piece of data provides information on a specific aspect of the cell regulation process. Integration of these diverse types of data is essential in order to identify biologically relevant regulatory modules. In this thesis, we address this challenge by analyzing the nature of these datasets and propose new techniques of data integration. Since microarray data is not available in quantities that are required for valid inference,
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27

Adai, Alex Tamas. "Uncovering microRNA function through data integration." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3311333.

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28

Friedman, Marc T. "Representation and optimization for data integration /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6979.

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29

Ives, Zachary G. "Efficient query processing for data integration /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6864.

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30

Ayyad, Majed. "Real-Time Event Centric Data Integration." Doctoral thesis, Università degli studi di Trento, 2014. https://hdl.handle.net/11572/367750.

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Abstract (sommario):
A vital step in integrating data from multiple sources is detecting and handling duplicate records that refer to the same real-life entity. Events are spatio-temporal entities that reflect changes in real world and are received or captured from different sources (sensors, mobile phones, social network services, etc.). In many real world situations, detecting events mostly take place through multiple observations by different observers. The local view of the observer reflects only a partial knowledge with certain granularity of time and space. Observations occur at a particular place and time,
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31

Ayyad, Majed. "Real-Time Event Centric Data Integration." Doctoral thesis, University of Trento, 2014. http://eprints-phd.biblio.unitn.it/1353/1/REAL-TIME_EVENT_CENTRIC_DATA_INTEGRATION.pdf.

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Abstract (sommario):
A vital step in integrating data from multiple sources is detecting and handling duplicate records that refer to the same real-life entity. Events are spatio-temporal entities that reflect changes in real world and are received or captured from different sources (sensors, mobile phones, social network services, etc.). In many real world situations, detecting events mostly take place through multiple observations by different observers. The local view of the observer reflects only a partial knowledge with certain granularity of time and space. Observations occur at a particular place and time,
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32

Schmidtmann, Verena. "Web-Services-basierte Referenzarchitektur für Enterprise Application Integration /." Berlin : wvb, Wiss. Verl. Berlin, 2005. http://www.wvberlin.de/data/inhalt/schmidtmann.htm.

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33

Giovannini, Paolo. "Sistema integrato di crowdsourcing e data integration in contesto accessible smart city." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5644/.

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34

Tous, Ruben. "Data integration with XML and semantic web technologies novel approaches in the design of modern data integration systems." Saarbrücken VDM Verlag Dr. Müller, 2006. http://d-nb.info/991303105/04.

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35

Sonmez, Sunercan Hatice Kevser. "Data Integration Over Horizontally Partitioned Databases In Service-oriented Data Grids." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612414/index.pdf.

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Abstract (sommario):
Information integration over distributed and heterogeneous resources has been challenging in many terms: coping with various kinds of heterogeneity including data model, platform, access interfaces<br>coping with various forms of data distribution and maintenance policies, scalability, performance, security and trust, reliability and resilience, legal issues etc. It is obvious that each of these dimensions deserves a separate thread of research efforts. One particular challenge among the ones listed above that is more relevant to the work presented in this thesis is coping with various forms o
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36

Wegener, Dennis [Verfasser]. "Integration of Data Mining into Scientific Data Analysis Processes / Dennis Wegener." Bonn : Universitäts- und Landesbibliothek Bonn, 2012. http://d-nb.info/1044867434/34.

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37

Repchevskiy, Dmitry. "Ontology based data integration in life sciences." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/386411.

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The aim of this thesis is to develop standard and practical approaches for the semantic integration of biological data and services. The thesis considers various scenarios where ontologies may benefit bioinformatics web services development, integration and provenance. In spite of the broad use of ontologies in biology, their usage is usually limited to a definition of taxonomic hierarchies. This thesis examines the utility of ontologies for data integration in context of semantic web services development. The biological datatypes ontologies are very valuable for the data integration, especial
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38

Wang, Guilian. "Schema mapping for data transformation and integration." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3211371.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed June 7, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 135-142).
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39

Schallehn, Eike. "Efficient similarity-based operations for data integration." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971682631.

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40

Wiesner, Christian. "Query evaluation techniques for data integration systems." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971999139.

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41

Zhang, Baoquan. "Integration and management of ophthalmological research data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/MQ31665.pdf.

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42

Keijzer, Ander de. "Management of uncertain data towards unattended integration /." Enschede : University of Twente [Host], 2008. http://doc.utwente.nl/58869.

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43

Su, Weifeng. "Domain-based data integration for Web databases /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20SU.

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44

Haak, Liane. "Semantische Integration von Data Warehousing und Wissensmanagement /." Berlin : Dissertation.de - Verl. im Internet, 2008. http://d-nb.info/989917010/04.

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45

Wang, Hongxia. "Data service framework for urban information integration." Thesis, University of Salford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490440.

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Abstract (sommario):
Comprehensive and accurate information plays a key role in urban planning process. Recent developments in Information Communications Technologies (ICT) have provided considerable challenges and opportunities to improve the management of planning processes and make better use of planning information. However, data sharing and integration are always problematic for urban planning tasks because urban datasets are heterogeneous and scattered in different domains and organisations. It is stated that planners spend about 80 percent of their time to coordinate various datasets and analysis informatio
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46

Lo, Chi-lik Eric, and 盧至力. "Bridging data integration technology and e-commerce." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29360705.

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47

DIAS, SANDRA APARECIDA. "SEMANTIC DATA INTEGRATION WITH AN ONTOLOGY FEDERATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9148@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O advento da WEB propiciou a disseminação de bases de dados distribuídas e heterogêneas. Por vezes, a resposta a uma consulta demanda o uso de várias destas bases. É necessário, então, algum nível de integração destas. A publicação dessas bases nem sempre segue um padrão semântico. Em função disso parece ser essencial existir um meio de relacionar os diferentes dados para satisfazer tais consultas. Este processo é comumente denominado de integração de dados. A comunidade de Banco de Dados tem conhecimento de métodos para da
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48

Шендрик, Віра Вікторівна, Вера Викторовна Шендрик, Vira Viktorivna Shendryk, A. Boiko, and Y. Mashyn. "Mechanisms of Data Integration in Information Systems." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47066.

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Abstract (sommario):
The effectiveness of enterprise management is providing by common use of information systems, which can only increase through flexible data management. The creating mechanisms for data integration are one of the most pressing issues in the field of information system. The nature and complexity of integrating methods are greatly depends on the level of integration, the features of various data sources and their set as a whole, and the identified ways of integration.
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49

Salazar, Gustavo A. "Integration and visualisation of data in bioinformatics." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/16861.

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Includes bibliographical references<br>The most recent advances in laboratory techniques aimed at observing and measuring biological processes are characterised by their ability to generate large amounts of data. The more data we gather, the greater the chance of finding clues to understand the systems of life. This, however, is only true if the methods that analyse the generated data are efficient, effective, and robust enough to overcome the challenges intrinsic to the management of big data. The computational tools designed to overcome these challenges should also take into account the requ
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50

Guan, Xiaowei. "Bioinformatics Approaches to Heterogeneous Omic Data Integration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1340302883.

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