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Dissertations / Theses on the topic 'Graph Analytics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Rawlani, Praynaa. "Graph analytics on relational databases." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100670.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 99-100).<br>Graph analytics has become increasing popular in the recent years. Conventionally, data is stored in relational databases that have been refined over decades, resulting in highly optimized data processing engines. However, the awkwardness of expressing iterative queries in SQL makes the relational query-processing model inadequate for graph analytics, leading to many alternativ

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2

Júnior, Alcebíades Dal Col. "Visual analytics via graph signal processing." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22102018-112358/.

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The classical wavelet transform has been widely used in image and signal processing, where a signal is decomposed into a combination of basis signals. By analyzing the individual contribution of the basis signals, one can infer properties of the original signal. This dissertation presents an overview of the extension of the classical signal processing theory to graph domains. Specifically, we review the graph Fourier transform and graph wavelet transforms both of which based on the spectral graph theory, and explore their properties through illustrative examples. The main features of the spect

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Siameh, Theophilus. "Graph Analytics Methods In Feature Engineering." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3307.

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High-dimensional data sets can be difficult to visualize and analyze, while data in low-dimensional space tend to be more accessible. In order to aid visualization of the underlying structure of a dataset, the dimension of the dataset is reduced. The simplest approach to accomplish this task of dimensionality reduction is by a random projection of the data. Even though this approach allows some degree of visualization of the underlying structure, it is possible to lose more interesting underlying structure within the data. In order to address this concern, various supervised and unsupervised l

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Priya, Rashmi. "RETAIL DATA ANALYTICS USING GRAPH DATABASE." UKnowledge, 2018. https://uknowledge.uky.edu/cs_etds/67.

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Big data is an area focused on storing, processing and visualizing huge amount of data. Today data is growing faster than ever before. We need to find the right tools and applications and build an environment that can help us to obtain valuable insights from the data. Retail is one of the domains that collects huge amount of transaction data everyday. Retailers need to understand their customer’s purchasing pattern and behavior in order to take better business decisions. Market basket analysis is a field in data mining, that is focused on discovering patterns in retail’s transaction data. Our

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Papadopoulos, Stavros. "Novel graph analytics for enhancing data insight." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/42992.

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Graph analytics is a fast growing and significant field in the visualization and data mining community, which is applied on numerous high-impact applications such as, network security, finance, and health care, providing users with adequate knowledge across various patterns within a given system. Although a series of methods have been developed in the past years for the analysis of unstructured collections of multi-dimensional points, graph analytics has only recently been explored. Despite the significant progress that has been achieved recently, there are still many open issues in the area,

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6

Alsahafy, Maram Saad M. "Efficient Algorithms for Speeding Up Graph Data Analytics." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/26166.

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Graph model has been playing an important role in analyzing the data from real applications such as social networks, communication networks, and information networks. It models entities of the applications as vertices/nodes in the graph, and models relationships among the entities as edges between vertices in the graph. In recent years there has been an increasing number of studies of complex graph analysis coinciding with the rapid development of information technologies, such as online social networks and (mobile/email) communication networks. Due to the growing sizes of these graph data,

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Sun, Jiawen. "The GraphGrind framework : fast graph analytics on large shared-memory systems." Thesis, Queen's University Belfast, 2018. https://pure.qub.ac.uk/portal/en/theses/the-graphgrind-framework-fast-graph-analytics-on-large-sharedmemory-systems(e1eb006f-3a68-4d05-91fe-961d04b42694).html.

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As shared memory systems support terabyte-sized main memory, they provide an opportunity to perform efficient graph analytics on a single machine. Graph analytics is characterised by frequent synchronisation, which is addressed in part by shared memory systems. However, performance is limited by load imbalance and poor memory locality, which originate in the irregular structure of small-world graphs. This dissertation demonstrates how graph partitioning can be used to optimise (i) load balance, (ii) Non-Uniform Memory Access (NUMA) locality and (iii) temporal locality of graph partitioning in

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8

Yang, Xintian. "Towards large-scale network analytics." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343680930.

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9

Huang, Xiaoke. "USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1467738860.

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10

Heibi, Ivan. "A Visual Framework for Graph and Text Analytics in Email Investigation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13818/.

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The aim of this work is to build a framework which can benefit from data analysis techniques to explore and mine important information stored in an email collection archive. The analysis of email data could be accomplished from different perspectives, we mainly focused our approach on two different aspects: social behaviors and the textual content of the emails body. We will present a review on the past techniques and features adopted to handle this type of analysis, and evaluate them in real tools. This background will motivate our choices and proposed approach, and help us build a final visu

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11

Sariyuce, Ahmet Erdem. "Fast Algorithms for Large-Scale Network Analytics." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429825578.

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Suárez-Varela, Macià José Rafael. "Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669212.

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Significant breakthroughs in the last decade in the Machine Learning (ML) field have ushered in a new era of Artificial Intelligence (AI). Particularly, recent advances in Deep Learning (DL) have enabled to develop a new breed of modeling and optimization tools with a plethora of applications in different fields like natural language processing, or computer vision. In this context, the Knowledge-Defined Networking (KDN) paradigm highlights the lack of adoption of AI techniques in computer networks and – as a result – proposes a novel architecture that relies on Software-Defined Networking (

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13

Wang, Yangzihao. "Gunrock| A Programming Model and Implementation for Graph Analytics on Graphics Processing Units." Thesis, University of California, Davis, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10251096.

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<p> The high-performance, highly parallel, fully programmable modern Graphics Processing Unit's high memory bandwidth, computing power, excellent peak throughput, and energy efficiency brings acceleration to regular applications that have extensive data parallelism, regular memory access patterns, and modest synchronizations. However, for graph analytics, the inherent irregularity of graph data structures leads to irregularity in data access and control flow, making efficient graph analytics on GPUs a significant challenge. Despite some promising specialized GPU graph algorithm implementations

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Fuhry, David P. "PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146.

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Thorri, Sigurdsson Thorsteinn. "Road traffic congestion detection and tracking with Spark Streaming analytics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254874.

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Road traffic congestion causes several problems. For instance, slow moving traffic in congested regions poses a safety hazard to vehicles approaching the congested region and increased commuting times lead to higher transportation costs and increased pollution.The work carried out in this thesis aims to detect and track road traffic congestion in real time. Real-time road congestion detection is important to allow for mechanisms to e.g. improve traffic safety by sending advanced warnings to drivers approaching a congested region and to mitigate congestion by controlling adaptive speed limits.

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Ruan, Yiye. "Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420765022.

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17

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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Saad, Kristen M. "Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case149619082195966.

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Wheatman, Brian. "Image alignment and dynamic graph analytics : two case studies of how managing data movement can make (parallel) code run fast." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123023.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>"June 2019." Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 101-106).<br>High performance applications are becoming increasingly resource hungry. We want to solve more complex problems and use more data to get higher quality results. However, the more data we store, the sl

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Valdivia, Paola Tatiana Llerena. "Graph signal processing for visual analysis and data exploration." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15102018-165426/.

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Signal processing is used in a wide variety of applications, ranging from digital image processing to biomedicine. Recently, some tools from signal processing have been extended to the context of graphs, allowing its use on irregular domains. Among others, the Fourier Transform and the Wavelet Transform have been adapted to such context. Graph signal processing (GSP) is a new field with many potential applications on data exploration. In this dissertation we show how tools from graph signal processing can be used for visual analysis. Specifically, we proposed a data filtering method, based on

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Collet, Julien. "Exploration of parallel graph-processing algorithms on distributed architectures." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2391/document.

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Avec l'explosion du volume de données produites chaque année, les applications du domaine du traitement de graphes ont de plus en plus besoin d'être parallélisées et déployées sur des architectures distribuées afin d'adresser le besoin en mémoire et en ressource de calcul. Si de telles architectures larges échelles existent, issue notamment du domaine du calcul haute performance (HPC), la complexité de programmation et de déploiement d’algorithmes de traitement de graphes sur de telles cibles est souvent un frein à leur utilisation. De plus, la difficile compréhension, a priori, du comportemen

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Nalluri, Joseph Jayakar. "NETWORK ANALYTICS FOR THE MIRNA REGULOME AND MIRNA-DISEASE INTERACTIONS." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/5012.

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miRNAs are non-coding RNAs of approx. 22 nucleotides in length that inhibit gene expression at the post-transcriptional level. By virtue of this gene regulation mechanism, miRNAs play a critical role in several biological processes and patho-physiological conditions, including cancers. miRNA behavior is a result of a multi-level complex interaction network involving miRNA-mRNA, TF-miRNA-gene, and miRNA-chemical interactions; hence the precise patterns through which a miRNA regulates a certain disease(s) are still elusive. Herein, I have developed an integrative genomics methods/pipeline to (i)

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Segura, Salvador Albert. "High-performance and energy-efficient irregular graph processing on GPU architectures." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/671449.

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Graph processing is an established and prominent domain that is the foundation of new emerging applications in areas such as Data Analytics and Machine Learning, empowering applications such as road navigation, social networks and automatic speech recognition. The large amount of data employed in these domains requires high throughput architectures such as GPGPU. Although the processing of large graph-based workloads exhibits a high degree of parallelism, memory access patterns tend to be highly irregular, leading to poor efficiency due to memory divergence.In order to ameliorate these issues,

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Green, Oded. "High performance computing for irregular algorithms and applications with an emphasis on big data analytics." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51860.

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Irregular algorithms such as graph algorithms, sorting, and sparse matrix multiplication, present numerous programming challenges, including scalability, load balancing, and efficient memory utilization. In this age of Big Data we face additional challenges since the data is often streaming at a high velocity and we wish to make near real-time decisions for real-world events. For instance, we may wish to track Twitter for the pandemic spread of a virus. Analyzing such data sets requires combing algorithmic optimizations and utilization of massively multithreaded architectures, accelerator such

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Ren, Haolin. "Visualizing media with interactive multiplex networks." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0036/document.

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Les flux d’information suivent aujourd’hui des chemins complexes: la propagation des informations, impliquant éditeurs on-line, chaînes d’information en continu et réseaux sociaux, emprunte alors des chemins croisés, susceptibles d’agir sur le contenu et sa perception. Ce projet de thèse étudie l’adaptation des mesures de graphes classiques aux graphes multiplexes en relation avec le domaine étudié, propose de construire des visualisations à partir de plusieurs représentations graphiques des réseaux, et de les combiner (visualisations multi-vues synchronisées, représentations hybrides, etc.).

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Ceccarello, Matteo. "Clustering-based Algorithms for Big Data Computations." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3424849.

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In the age of big data, the amount of information that applications need to process often exceeds the computational capabilities of single machines. To cope with this deluge of data, new computational models have been defined. The MapReduce model allows the development of distributed algorithms targeted at large clusters, where each machine can only store a small fraction of the data. In the streaming model a single processor processes on-the-fly an incoming stream of data, using only limited memory. The specific characteristics of these models combined with the necessity of processing ver

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Veras, Richard Michael. "A Systematic Approach for Obtaining Performance on Matrix-Like Operations." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1011.

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Scientific Computation provides a critical role in the scientific process because it allows us ask complex queries and test predictions that would otherwise be unfeasible to perform experimentally. Because of its power, Scientific Computing has helped drive advances in many fields ranging from Engineering and Physics to Biology and Sociology to Economics and Drug Development and even to Machine Learning and Artificial Intelligence. Common among these domains is the desire for timely computational results, thus a considerable amount of human expert effort is spent towards obtaining performance

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Renoust, Benjamin. "Analysis and Visualisation of Edge Entanglement in Multiplex Networks." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00942358.

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When it comes to comprehension of complex phenomena, humans need to understand what interactions lie within them.These interactions are often captured with complex networks. However, the interaction pluralism is often shallowed by traditional network models. We propose a new way to look at these phenomena through the lens of multiplex networks, in which catalysts are drivers of the interaction through substrates. To study the entanglement of a multiplex network is to study how edges intertwine, in other words, how catalysts interact. Our entanglement analysis results in a full set of new objec

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Harvey, William John. "Understanding High-Dimensional Data Using Reeb Graphs." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1342614959.

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Hong, Changwan. "Code Optimization on GPUs." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557123832601533.

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Nyström, Björn. "Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45667.

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The main task of this thesis was to create a software prototype of an analysing tool that would work as a compliment to IT-Maskinens event application, which is used as a digital tool for events. The requirement for the prototype was that it would be able to identify the user, gather relevant data from a possible storage location and visualize this in an aesthetically pleasing manner. The thesis contained two different parts, investigation and implementation. The investigation included to determine which tool that would be used for the visualization of the data, which data likeminded compani

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Xiao, Dongqing. "Towards Graph Analytic and Privacy Protection." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/545.

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In many prevalent application domains, such as business to business network, social networks, and sensor networks, graphs serve as a powerful model to capture the complex relationships inside. These graphs are of significant importance in various domains such as marketing, psychology, and system design. The management and analysis of these graphs is a recurring research theme. The increasing scale of data poses a new challenge on graph analysis tasks. Meanwhile, the revealed edge uncertainty in the released graph raises new privacy concerns for the individuals involved. In this dissertatio

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Weller, Kerstin B. "Connectivity and related properties for graph classes." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:667a139e-6d2c-4f67-8487-04c3a0136226.

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There has been much recent interest in random graphs sampled uniformly from the set of (labelled) graphs on n vertices in a suitably structured class A. An important and well-studied example of such a suitable structure is bridge-addability, introduced in 2005 by McDiarmid et al. in the course of studying random planar graphs. A class A is bridge-addable when the following holds: if we take any graph G in A and any pair u,v of vertices that are in different components in G, then the graph G′ obtained by adding the edge uv to G is also in A. It was shown that for a random graph sampled from a b

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Fowler, Thomas George. "Unique coloring of planar graphs." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/30358.

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Rayar, Frédéric. "Exploration interactive, incrémentale et multi-niveau de larges collections d'images." Thesis, Tours, 2016. http://www.theses.fr/2016TOUR4012/document.

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Les travaux de recherche présentés et discutés dans cette thèse s’intéressent aux grandes collections d’images numériques. Plus particulièrement, nous cherchons à donner à un utilisateur la possibilité d’explorer ces collections d’images, soit dans le but d’en extraire de l’information et de la connaissance, soit de permettre une certaine sérendipité dans l’exploration. Ainsi, cette problématique est abordée du point de vue de l’analyse et l’exploration interactive des données. Nous tirons profit du paradigme de navigation par similarité et visons à respecter simultanément les trois contrainte

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Sheppardson, Laura. "Disjoint paths in planar graphs." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/29862.

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Günzl, Richard. "Aplikace grafové databáze na analytické úlohy." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193342.

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This diploma thesis is about graph databases, which belong to the category of database systems known as NoSQL databases, but graph databases are beyond NoSQL databases. Graph databases are useful in many cases thanks to native storing of interconnections between data, which brings advantageous properties in comparison with traditional relational database system, especially in querying. The main goal of the thesis is: to describe principles, properties and advantages of graph database; to design own convenient graph database use case and to realize the template verifying designed use case. The

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Traxl, Dominik. "Deep graphs." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17785.

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Netzwerk Theorie hat sich als besonders zweckdienlich in der Darstellung von Systemen herausgestellt. Jedoch fehlen in der Netzwerkdarstellung von Systemen noch immer essentielle Bausteine um diese generell zur Datenanalyse heranzuziehen zu können. Allen voran fehlt es an einer expliziten Assoziation von Informationen mit den Knoten und Kanten eines Netzwerks und einer schlüssigen Darstellung von Gruppen von Knoten und deren Relationen auf verschiedenen Skalen. Das Hauptaugenmerk dieser Dissertation ist der Einbindung dieser Bausteine in eine verallgemeinerte Rahmenstruktur gewidmet. Di

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Bodily, Robert Gordon. "Designing, Developing, and Implementing Real-Time Learning Analytics Student Dashboards." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7258.

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This document is a multiple-article format dissertation that discusses the iterative design, development, and evaluation processes necessary to create high quality learning analytics dashboard systems. With the growth of online and blended learning environments, the amount of data that researchers and practitioners collect from learning experiences has also grown. The field of learning analytics is concerned with using this data to improve teaching and learning. Many learning analytics systems focus on instructors or administrators, but these tools fail to involve students in the data-driven d

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Hesse, Martin. "Harmonic maps into trees and graphs analytical and numerical aspects /." Bonn : Mathematisches Institut der Universität, 2005. http://catalog.hathitrust.org/api/volumes/oclc/62767410.html.

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Sarbishei, Omid. "Analytical optimization/verification schemes for finite- precision data-flow graphs." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121464.

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Finite-precision computing is an important topic, which has vast applications from computer arithmetic and Digital Signal Processing (DSP) to sensor fusion. The main goal in finite-precision computing is to deliver accurate enough computational results, while utilizing the minimum amount of available hardware resources such as arithmetic logic units, multiply-accumulator units, look-up-tables, logic gates, dedicated DSP blocks, memories, number of sensors, etc. Fixed-point, floating-point, and block-floating-point number representations are the most common data formats for finite-precision com

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Zaidi, Faraz. "Analysis, structure and organization of complex networks." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14112/document.

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La Science des réseaux est apparue comme un domaine d'étude fondamental pour modéliser un grand nombre de systèmes synthétiques ou du monde réel.La découverte du graphe petit monde et du graphe sans échelle dans ces réseaux a révolutionné la façon d'étudier, d'analyser, de modéliser et de traiter ces réseaux. Dans cette thèse, nous nous intéressons à l'étude des réseaux ayant ces propriétés et souvent qualifiés de réseaux complexes.A notre avis, les recherches menées dans ce domaine peuvent être regroupées en quatre catégories: l'analyse, la structure, le processus/organisation et la visualisa

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Furuhashi, Takashi, Tomohiro Yoshikawa, and Daisuke Kobayashi. "Visualization and analytical support of questionnaire free-texts data based on HK Graph with concepts of words." IEEE, 2011. http://hdl.handle.net/2237/20705.

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Jakawat, Wararat. "Graphs enriched by Cubes (GreC) : a new approach for OLAP on information networks." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2087/document.

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L'analyse en ligne OLAP (Online Analytical Processing) est une des technologies les plus importantes dans les entrepôts de données, elle permet l'analyse multidimensionnelle de données. Cela correspond à un outil d'analyse puissant, tout en étant flexible en terme d'utilisation pour naviguer dans les données, plus ou moins en profondeur. OLAP a été le sujet de différentes améliorations et extensions, avec sans cesse de nouveaux problèmes en lien avec le domaine et les données, par exemple le multimedia, les données spatiales, les données séquentielles, etc. A l'origine, OLAP a été introduit po

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Klapač, Milan. "Výhody a nevýhody relačních a nerelačních (noSQL) databází pro analytické úlohy." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-193931.

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This work focuses on NoSQL databases, their use for analytical tasks and on comparison of NoSQL databases with relational and OLAP databases. The aim is to analyse the benefits of NoSQL databases and their use for analytical purposes. The first part presents the basic principles of Business Intelligence, Data Warehousing, and Big Data. The second part deals with the key features of relational and NoSQL databases. The last part of the thesis describes the properties of four basic types of NoSQL databases, analyses their advantages, disadvantages and areas of application. The end of this part in

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Olande, Oduor. "Students' narratives from graphical artefacts : Exploring the use of mathematics tools and forms of expression in students' graphicacy." Doctoral thesis, Mittuniversitetet, Avdelningen för ämnesdidaktik och matematik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-19710.

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Jha, Mayank Shekhar. "Diagnostic et Pronostic de Systèmes Dynamiques Incertains dans un contexte Bond Graph." Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0027/document.

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Cette thèse développe des approches pour le diagnostic et le pronostic de systèmes dynamiques incertains en utilisant la technique de modélisation Bond Graph (BG). Tout d'abord, une représentation par intervalles des incertitudes paramétriques et de mesures est intégrée à un modèle BG-LFT (Linear Fractional Transformation). Une méthode de détection robuste de défaut est développée en utilisant les règles de l'arithmétique d'intervalle pour la génération de seuils robustes et adaptatifs sur les résidus nominaux. La méthode est validée en temps réel sur un système de générateur de vapeur.Deuxièm

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Goodrich, Katheryn Marie. "Colonic metabolism of dietary grape seed extract: Analytical method development, effect on tight-junction proteins, tissue accumulation, and pan-colonic pharmacokinetics." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/72973.

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Procyanidins (PCs) have been extensively investigated for their potential health protective activities, but the prospective bioactivities are limited by their poor bioavailability. The majority of the ingested dose remains unabsorbed and reaches the colon where extensive microbial metabolism occurs. The objectives of these studies are to better understand the roles and activities of PCs in the lower gastrointestinal tract. First, a new high-throughput Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry method was developed to efficiently analyze PCs and an extensive profile of

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Gatse, Franchel. "Spectre ordonné et branches analytiques d'une surface qui dégénère sur un graphe." Electronic Thesis or Diss., Orléans, 2020. http://www.theses.fr/2020ORLE3205.

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Dans ce travail, nous donnons un cadre général de surfaces riemanniennes qui dégénèrent sur des graphes métriques que nous appelons surfaces décomposables en cylindres et en jonctions. Les surfaces décomposables en cylindres et en jonctions dépendent d’un paramètre t qui traduit le mécanisme d’écrasement sur le graphe. Quand le paramètre t tend vers 0, les circonférences des cylindres tendent vers 0 et leurs longueurs restent fixes. On obtient ainsi les arêtes du graphe limite. Les jonctions, elles, sont écrasées dans toutes les directions et donc dégénèrent sur les sommets du graphe limite. N

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García, Sara. "Visualization of Learning Paths as Networks of Topics." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100683.

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Nowadays, interactive visualizations have been one of the most used tools in Big Data fields for the purpose of searching for relationships and structured information in large datasets of unstructured information. In this project, these tools are applied to extract structured information from students following Self-Regulated Learning (SRL). By means of an interactive graph, we are able to study the paths that the students follow in the learning materials. Our visualization supports the investigation of patterns of behaviour of the students, which later could be used, for example, to adapt the

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