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Dissertations / Theses on the topic 'Elemental graph data model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Kim, Pilho. "E-model event-based graph data model theory and implementation /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29608.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Madisetti, Vijay; Committee Member: Jayant, Nikil; Committee Member: Lee, Chin-Hui; Committee Member: Ramachandran, Umakishore; Committee Member: Yalamanchili, Sudhakar. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Bergami, Giacomo <1990&gt. "A new Nested Graph Model for Data Integration." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8348/1/bergami_giacomo_tesi.pdf.

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Despite graph data gained increasing interest in several fields, no data model suitable for both querying and integrating differently structured graph and (semi)structured data has been currently conceived. The lack of operators allowing combinations of (multiple) graphs in current graph query languages (graph joins), and on graph data structure allowing neither data integration nor nested multidimensional representations (graph nesting) are a possible motivation. In order to make such data integration possible, this thesis proposes a novel model (General Semistructured data Model) allowing th

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Yang, Hong. "Modeling and Querying Graph Data." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/34.

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Databases are used in many applications, spanning virtually the entire range of data processing services industry. The data in many database applications can be most naturally represented in the form of a graph structure consisting of various types of nodes and edges with several properties. These graph data can be classified into four categories: social networks describing the relationships between individual person and/or groups of people (e.g. genealogy, network of coauthorship among academics, etc); information networks in which the structure of the network reflects the structure of the in

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Li, Jie. "Data integration for biological network databases MetNetDB labeled graph model and graph matching algorithm /." [Ames, Iowa : Iowa State University], 2008.

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Huang, Zan, Wingyan Chung, and Hsinchun Chen. "A Graph Model for E-Commerce Recommender Systems." Wiley Periodicals, Inc, 2004. http://hdl.handle.net/10150/105683.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Information overload on the Web has created enormous challenges to customers selecting products for online purchases and to online businesses attempting to identify customersâ preferences efficiently. Various recommender systems employing different data representations and recommendation methods are currently used to address these challenges. In this research, we developed a graph model that provides a generic data representation and can support different recommendation methods. To demonstrate its usefulness an

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Hohman, Elizabeth Leeds. "A dynamic graph model for representing streaming text documents." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3062.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 141. Thesis director: Edward J. Wegman. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational Sciences and Informatics. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 105-110). Also issued in print.

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Zichner, Thomas. "Building graph models of oncogenesis by using microRNA expression data." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1167.

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<p>MicroRNAs (miRNAs) are a class of small non-coding RNAs that control gene expression by targeting mRNAs and triggering either translation repression or RNA degradation. Several groups pointed out that miRNAs play a major role in several diseases, including cancer. This is assumed since the expression level of several miRNAs differs between normal and cancerous cells. Further, it has been shown that miRNAs are involved in cell proliferation and cell death.</p><p>Because of this role it is suspected that miRNAs could serve as biomarkers to improve tumor classification, therapy selection, or p

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Körber, Julian [Verfasser], and Susanne [Akademischer Betreuer] Rässler. "Bayesian Analysis of Network Data. Model Selection and Evaluation of the Exponential Random Graph Model / Julian Körber ; Betreuer: Susanne Rässler." Bamberg : Otto-Friedrich-Universität Bamberg, 2018. http://d-nb.info/1160938849/34.

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Danielsson, Simon, and Jakob Flygare. "A Multi-Target Graph-Constrained HMM Localisation Approach using Sparse Wi-Fi Sensor Data." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231090.

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This thesis explored the possibilities of using a Hidden Markov Model approach for multi-target localisation in an urban environment, with observations generated from Wi-Fi sensors. The area is modelled as a network of nodes and arcs, where the arcs represent sidewalks in the area and constitutes the hidden states in the model. The output of the model is the expected amount of people at each road segment throughout the day. In addition to this, two methods for analyzing the impact of events in the area are proposed. The first method is based on a time series analysis, and the second one is bas

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Soussi, Rania. "Querying and extracting heterogeneous graphs from structured data and unstrutured content." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00740663.

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The present work introduces a set of solutions to extract graphs from enterprise data and facilitate the process of information search on these graphs. First of all we have defined a new graph model called the SPIDER-Graph, which models complex objects and permits to define heterogeneous graphs. Furthermore, we have developed a set of algorithms to extract the content of a database from an enterprise and to represent it in this new model. This latter representation allows us to discover relations that exist in the data but are hidden due to their poor compatibility with the classical relationa

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Giese, Holger, Stephan Hildebrandt, Stefan Neumann, and Sebastian Wätzoldt. "Industrial case study on the integration of SysML and AUTOSAR with triple graph grammars." Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/6018/.

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During the overall development of complex engineering systems different modeling notations are employed. For example, in the domain of automotive systems system engineering models are employed quite early to capture the requirements and basic structuring of the entire system, while software engineering models are used later on to describe the concrete software architecture. Each model helps in addressing the specific design issue with appropriate notations and at a suitable level of abstraction. However, when we step forward from system design to the software design, the engineers have to ensu

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Giese, Holger, and Stephan Hildebrandt. "Efficient model synchronization of large-scale models." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2009/2928/.

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Model-driven software development requires techniques to consistently propagate modiﬁcations between different related models to realize its full potential. For large-scale models, efﬁciency is essential in this respect. In this paper, we present an improved model synchronization algorithm based on triple graph grammars that is highly efﬁcient and, therefore, can also synchronize large-scale models sufﬁciently fast. We can show, that the overall algorithm has optimal complexity if it is dominating the rule matching and further present extensive measurements that show the efﬁciency of the prese

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VIRGILI, LUCA. "Graphs behind data: A network-based approach to model different scenarios." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295088.

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Al giorno d’oggi, i contesti che possono beneficiare di tecniche di estrazione della conoscenza a partire dai dati grezzi sono aumentati drasticamente. Di conseguenza, la definizione di modelli capaci di rappresentare e gestire dati altamente eterogenei è un argomento di ricerca molto dibattuto in letteratura. In questa tesi, proponiamo una soluzione per affrontare tale problema. In particolare, riteniamo che la teoria dei grafi, e più nello specifico le reti complesse, insieme ai suoi concetti ed approcci, possano rappresentare una valida soluzione. Infatti, noi crediamo che le reti complesse

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Liu, Chenang. "Smart Additive Manufacturing Using Advanced Data Analytics and Closed Loop Control." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/91900.

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Additive manufacturing (AM) is a powerful emerging technology for fabrication of components with complex geometries using a variety of materials. However, despite promising potential, due to the complexity of the process dynamics, how to ensure product quality and consistency of AM parts efficiently during the process still remains challenging. Therefore, the objective of this dissertation is to develop effective methodologies for online automatic quality monitoring and improvement, i.e., to build a basis for smart additive manufacturing. The fast-growing sensor technology can easily generat

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Hebig, Regina, and Holger Giese. "MDE settings in SAP : a descriptive field study." Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/6019/.

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MDE techniques are more and more used in praxis. However, there is currently a lack of detailed reports about how different MDE techniques are integrated into the development and combined with each other. To learn more about such MDE settings, we performed a descriptive and exploratory field study with SAP, which is a worldwide operating company with around 50.000 employees and builds enterprise software applications. This technical report describes insights we got during this study. For example, we identified that MDE settings are subject to evolution. Finally, this report outlines directions

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GARBARINO, DAVIDE. "Acknowledging the structured nature of real-world data with graphs embeddings and probabilistic inference methods." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1092453.

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In the artificial intelligence community there is a growing consensus that real world data is naturally represented as graphs because they can easily incorporate complexity at several levels, e.g. hierarchies or time dependencies. In this context, this thesis studies two main branches for structured data. In the first part we explore how state-of-the-art machine learning methods can be extended to graph modeled data provided that one is able to represent graphs in vector spaces. Such extensions can be applied to analyze several kinds of real-world data and tackle different problems. Here we

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Štork, Petr. "Návrh plně diferenčních kmitočtových filtrů s proudovými aktivními prvky za pomoci metody grafu signálových toků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220632.

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This master’s thesis deals with designing of fully-differential current-mode frequency filters using signal-flow graphs method. The first part is focused on a general description of frequency filters, its function and division. Active elements that create these frequency filters, such as multi-output current follower (MO-CF), balanced or multi-output transconductance amplifier (BOTA, MOTA) and digitally adjustace current amplifier (DACA) are described in the following part. Next, problems and various techniques of designing such filters are discussed on a theoretic basis. In the remaining part

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Cheng, Sibo. "Error covariance specification and localization in data assimilation with industrial application Background error covariance iterative updating with invariant observation measures for data assimilation A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping Error covariance tuning in variational data assimilation: application to an operating hydrological model." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST067.

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Les méthodes d’assimilation de données et plus particulièrement les méthodes variationnelles sont mises à profit dans le domaine industriel pour deux grands types d’applications que sont la reconstruction de champ physique et le recalage de paramètres. Une des difficultés de mise en œuvre des algorithmes d’assimilation est que la structure de matrices de covariance d’erreurs, surtout celle d’ébauche, n’est souvent pas ou mal connue. Dans cette thèse, on s’intéresse à la spécification et la localisation de matrices de covariance dans des systèmes multivariés et multidimensionels, et dans un cad

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Tian, Hao. "A methodology for domain-specific conceptual data modeling and querying." restricted, 2007. http://etd.gsu.edu/theses/available/etd-02272007-140033/.

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Thesis (Ph. D.)--Georgia State University, 2007.<br>Rajshekhar Sunderraman, committee chair; Paul S. Katz, Yanqing Zhang, Ying Zhu, committee members. Electronic text (128 p. : ill.) : digital, PDF file. Description based on contents viewed Oct. 15, 2007; title from file title page. Includes bibliographical references (p. 124-128).

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Ailem, Melissa. "Sparsity-sensitive diagonal co-clustering algorithms for the effective handling of text data." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB087.

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Dans le contexte actuel, il y a un besoin évident de techniques de fouille de textes pour analyser l'énorme quantité de documents textuelles non structurées disponibles sur Internet. Ces données textuelles sont souvent représentées par des matrices creuses (sparses) de grande dimension où les lignes et les colonnes représentent respectivement des documents et des termes. Ainsi, il serait intéressant de regrouper de façon simultanée ces termes et documents en classes homogènes, rendant ainsi cette quantité importante de données plus faciles à manipuler et à interpréter. Les techniques de classi

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Sanhes, Jeremy. "Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion." Thesis, Nouvelle Calédonie, 2014. http://www.theses.fr/2014NCAL0065/document.

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Les événements spatio-temporels regroupent une large diversité de phénomènes comportant des caractéristiques propres. Par exemple, l’étude de flux migratoires se révèle ainsi très différente de l’étude de propagation de maladies. En effet, le domaine d’intérêt de la première porte sur le suivi des trajectoires, tandis que celui de la deuxième porte sur les facteurs de la propagation. De plus, chaque classe d’un problème spatio-temporel peut être abordée différemment, que l’on considère ou non un voisinage spatial, une caractérisation des objets d’étude unique ou multiple, ou bien une (in)dépen

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Bendimerad, Ahmed Anes. "Mining useful patterns in attributed graphs." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI058.

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Un graphe est une structure qui permet de modéliser efficacement une large variété de données. Par exemple, un réseau social peut être représenté avec un graphe où les personnes sont les sommets, et leurs liens d'amitiés sont les arêtes. Ces graphes peuvent être augmentés avec des attributs décrivant ses sommets. Dans un réseau social, chaque personne peut être décrite par son age, ses centres d'intérêts, etc. C'est ce qu'on appelle un graphe attribué. L'analyse de ce type de graphes peut offrir une grande opportunité pour extraire des informations utiles et actionnables. Cela permet d'identif

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Ailem, Melissa. "Sparsity-sensitive diagonal co-clustering algorithms for the effective handling of text data." Electronic Thesis or Diss., Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB087.

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Dans le contexte actuel, il y a un besoin évident de techniques de fouille de textes pour analyser l'énorme quantité de documents textuelles non structurées disponibles sur Internet. Ces données textuelles sont souvent représentées par des matrices creuses (sparses) de grande dimension où les lignes et les colonnes représentent respectivement des documents et des termes. Ainsi, il serait intéressant de regrouper de façon simultanée ces termes et documents en classes homogènes, rendant ainsi cette quantité importante de données plus faciles à manipuler et à interpréter. Les techniques de classi

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Gross, Tadeu Junior. "Structure learning of Bayesian networks via data perturbation." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-19022019-134517/.

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Structure learning of Bayesian Networks (BNs) is an NP-hard problem, and the use of sub-optimal strategies is essential in domains involving many variables. One of them is to generate multiple approximate structures and then to reduce the ensemble to a representative structure. It is possible to use the occurrence frequency (on the structures ensemble) as the criteria for accepting a dominant directed edge between two nodes and thus obtaining the single structure. In this doctoral research, it was made an analogy with an adapted one-dimensional random-walk for analytically deducing an appropri

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Frankeline, Tanyi. "Attack Modeling and Risk Assessments in Software Deﬁned networking (SDN)". Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88806.

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Software Defined Networking (SDN) is a technology which provides a network architecture with three distinct layers that is, the application layer which is made up of SDN applications, the control layer which is made up of the controller and the data plane layer which is made up of switches. However, the exits different types of SDN architectures some of which are interconnected with the physical network. At the core of SDN, the control plane is physically and logically separated from the data plane. The controller is connected to the application layer through an interface known as the northbou

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Polowinski, Jan. "Ontology-Driven, Guided Visualisation Supporting Explicit and Composable Mappings." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-229908.

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Data masses on the World Wide Web can hardly be managed by humans or machines. One option is the formal description and linking of data sources using Semantic Web and Linked Data technologies. Ontologies written in standardised languages foster the sharing and linking of data as they provide a means to formally define concepts and relations between these concepts. A second option is visualisation. The visual representation allows humans to perceive information more directly, using the highly developed visual sense. Relatively few efforts have been made on combining both options, although the f

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Self, Joel P. "On-the-Fly Dynamic Dead Variable Analysis." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/886.

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State explosion in model checking continues to be the primary obstacle to widespread use of software model checking. The large input ranges of variables used in software is the main cause of state explosion. As software grows in size and complexity the problem only becomes worse. As such, model checking research into data abstraction as a way of mitigating state explosion has become more and more important. Data abstractions aim to reduce the effect of large input ranges. This work focuses on a static program analysis technique called dead variable analysis. The goal of dead variable analysis

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Bartolín, Ayala Hugo José. "Confección de modelos de redes de distribución de agua desde un Sig y desarrollo de herramientas de apoyo a la toma de decisiones." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/33152.

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Advances in information technology in the past two decades have seen innovations in the field of domestic and industrial computing that led to a paradigm shift in the management and operation of urban water systems by water utility companies. The traditional public management policy that focused on ensuring a minimum quality of service regardless of the costs associated with the processes of catchment, treatment and distribution of water, in many cases even unknown, have evolved towards more efficient cost sensitive models. These new wholly or partly public funded management systems

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Kheirbek, Ammar. "Modèle d'intégration d'un système de recherche d'informations et d'un système hypermédia basé sur le formalisme des graphes conceptuels." Université Joseph Fourier (Grenoble), 1995. http://www.theses.fr/1995GRE10045.

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Le but de notre travail est de définir un modèle de recherche d'informations, intégrant les deux modes d'accès que sont la formulation de requêtes (approche systèmes de recherche d'information) et la navigation (approche systèmes hypermédia). La motivation de cette étude repose sur la constatation que ces deux approches sont fortement complémentaires, les avantages de l'une compensant largement les limitations de l'autre. Classiquement, les modèles de recherche d'informations et d'hypermédia établissent une distinction entre les aspects structure des informations et les aspects représentation

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KALLAS, KASSEM. "A Game-Theoretic Approach for Adversarial Information Fusion in Distributed Sensor Networks." Doctoral thesis, Università di Siena, 2017. http://hdl.handle.net/11365/1005735.

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Every day we share our personal information through digital systems which are constantly exposed to threats. For this reason, security-oriented disciplines of signal processing have received increasing attention in the last decades: multimedia forensics, digital watermarking, biometrics, network monitoring, steganography and steganalysis are just a few examples. Even though each of these fields has its own peculiarities, they all have to deal with a common problem: the presence of one or more adversaries aiming at making the system fail. Adversarial Signal Processing lays the basis of a genera

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Holste, Angela Sarah. "Développement des méthodes bio analytique pour l’analyse quantitative et qualitative des peptides et protéines marqués par le couplage de la chromatographie et la spectrométrie de masse." Thesis, Pau, 2014. http://www.theses.fr/2014PAUU3004/document.

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Cette thèse est le résultat d’une cotutelle entre l'Université de Pau et des Pays de l'Adour (UPPA) à Pau, en France et l'Université Christian Albrecht (CAU) à Kiel, en Allemagne. Dans le cadre de cette collaboration internationale, des méthodes bio-analytiques sont développées pour analyser quantitativement et qualitativement des peptides et protéines marquées par le couplage de la chromatographie avec la spectrométrie de masse. Les peptides et les digestats des protéines sont marquées selon un protocole optimisé par des lanthanides en utilisant des composés à base de DOTA. La séparation des

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Chen, Guan-Chun, and 陳冠淳. "A Factor Model for Graph Data." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/51986788751893909437.

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碩士<br>國立交通大學<br>統計學研究所<br>103<br>Network data emerge in science, engineering and many important fields. Numerous network models have been proposed to explore network structure and find node clusters. In addition, link pattern modules such as stars have attracted intensive attention. In this paper, we propose a factor model for analyzing network data. In network, a factor refers a channel for the connection between pairs of nodes to be built based on specific node feature. The edge rate for a pair of nodes can be obtained through a bivariate link function. Different link function yields differe

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Chen, Chang-Ju, and 陳昶汝. "A Hierarchical Factor Model for Directed Graph Data." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/67816990807228139067.

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碩士<br>國立交通大學<br>統計學研究所<br>104<br>Nowadays, graph theory has become a key role towards analyzing pairwise relations between objects. It is commonly and widely applied to describe complex interaction patterns in various scientific fields. Most of the researches explore community structure only. However, recent studies unveil more sophisticated modules; community is not the only structure we are interested in anymore. In this paper, we extend the previous undirected factor model and put forward a directed graph factor model, where every node carries several features, for analyzing various complex

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Yen, Yu-Yang, and 顏又揚. "Software Design of A Graph Data Model with Extended Views and Operations." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/9wzkyw.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>96<br>In state-of-the-art libraries (for example, Standard Template Library), they support a number of data models, such as set, map, sequence, etc. Since graph data processing is widely used in combinatorial processing and optimization programs, in this research, we implemented software design of a graph model with extended views. In the design, we developed various graph data models with associated graph operations and graph algorithms. With this library, we can support program designs utilizing graph data and processing.

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(9143660), Daeun Yim. "EXPLORATORY SEARCH USING VECTOR MODEL AND LINKED DATA." Thesis, 2020.

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The way people acquire knowledge has largely shifted from print to web resources. Meanwhile, search has become the main medium to access information. Amongst various search behaviors, exploratory search represents a learning process that involves complex cognitive activities and knowledge acquisition. Research on exploratory search studies on how to make search systems help people seek information and develop intellectual skills. This research focuses on information retrieval and aims to build an exploratory search system that shows higher clustering performance and diversified search results.

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"An application of cox hazard model and CART model in analyzing the mortality data of elderly in Hong Kong." 2002. http://library.cuhk.edu.hk/record=b5891190.

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Pang Suet-Yee.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (leaves 85-87).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Overview --- p.1<br>Chapter 1.1.1 --- Survival Analysis --- p.2<br>Chapter 1.1.2 --- Tree、-structured Statistical Method --- p.2<br>Chapter 1.1.3 --- Mortality Study --- p.3<br>Chapter 1.2 --- Motivation --- p.3<br>Chapter 1.3 --- Background Information --- p.4<br>Chapter 1.4 --- Data Content --- p.7<br>Chapter 1.5 --- Thesis Outline --- p.8<br>Chapter 2 --- Imputa

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"Generalized Statistical Tolerance Analysis and Three Dimensional Model for Manufacturing Tolerance Transfer in Manufacturing Process Planning." Doctoral diss., 2011. http://hdl.handle.net/2286/R.I.9125.

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abstract: Mostly, manufacturing tolerance charts are used these days for manufacturing tolerance transfer but these have the limitation of being one dimensional only. Some research has been undertaken for the three dimensional geometric tolerances but it is too theoretical and yet to be ready for operator level usage. In this research, a new three dimensional model for tolerance transfer in manufacturing process planning is presented that is user friendly in the sense that it is built upon the Coordinate Measuring Machine (CMM) readings that are readily available in any decent manufacturing fa

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Nouri, Golmaei Sara. "Improving the Performance of Clinical Prediction Tasks by using Structured and Unstructured Data combined with a Patient Network." Thesis, 2021. http://dx.doi.org/10.7912/C2/41.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>With the increasing availability of Electronic Health Records (EHRs) and advances in deep learning techniques, developing deep predictive models that use EHR data to solve healthcare problems has gained momentum in recent years. The majority of clinical predictive models benefit from structured data in EHR (e.g., lab measurements and medications). Still, learning clinical outcomes from all possible information sources is one of the main challenges when building predictive models. This work focuses mainly on two sources of information

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Dlamini, Wisdom Mdumiseni Dabulizwe. "Spatial analysis of invasive alien plant distribution patterns and processes using Bayesian network-based data mining techniques." Thesis, 2016. http://hdl.handle.net/10500/20692.

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Invasive alien plants have widespread ecological and socioeconomic impacts throughout many parts of the world, including Swaziland where the government declared them a national disaster. Control of these species requires knowledge on the invasion ecology of each species including how they interact with the invaded environment. Species distribution models are vital for providing solutions to such problems including the prediction of their niche and distribution. Various modelling approaches are used for species distribution modelling albeit with limitations resulting from statistical assumption

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Polowinski, Jan. "Ontology-Driven, Guided Visualisation Supporting Explicit and Composable Mappings." Doctoral thesis, 2016. https://tud.qucosa.de/id/qucosa%3A30593.

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Data masses on the World Wide Web can hardly be managed by humans or machines. One option is the formal description and linking of data sources using Semantic Web and Linked Data technologies. Ontologies written in standardised languages foster the sharing and linking of data as they provide a means to formally define concepts and relations between these concepts. A second option is visualisation. The visual representation allows humans to perceive information more directly, using the highly developed visual sense. Relatively few efforts have been made on combining both options, although the f

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Narciso, André Filipe Tarrucha. "Industrial IT security management supported by an asset management database." Master's thesis, 2019. http://hdl.handle.net/10071/22227.

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Managing the security of Information Technology (IT) systems and assets throughout their lifecycle is a very complex and important task for organisations, where the number of external threats and vulnerabilities in industrial systems continues to grow. Managing the complexity and having a clear system overview of all assets within industrial infrastructures are key challenges. Beyond that, there is no welldefined data structure to organize all data about IT assets from different industrial sources. This study describes a solution to support security management of industrial IT assets, deve

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