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Dissertations / Theses on the topic 'Dbsan'

Author: Grafiati
Published: 25 July 2024
Last updated: 30 July 2024

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1

Neto, AntÃnio Cavalcante AraÃjo. "G2P-DBSCAN: Data Partitioning Strategy and Distributed Processing of DBSCAN with MapReduce." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15592.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>Clustering is a data mining technique that brings together elements of a data set such so that the elements of a same group are more similar to each other than to those from other groups. This thesis studied the problem of processing the clustering based on density DBSCAN algorithm distributedly through the MapReduce paradigm. In the distributed processing it is important that the partitions are processed have approximately the same size, provided that the total of the processing time is limited by the time the node with a larger am
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Araújo, Neto Antônio Cavalcante. "G2P-DBSCAN: Estratégia de Particionamento de Dados e de Processamento Distribuído fazer DBSCAN com MapReduce." reponame:Repositório Institucional da UFC, 2016. http://www.repositorio.ufc.br/handle/riufc/16372.

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ARAÚJO NETO, Antônio Cavalcante. G2P-DBSCAN: Estratégia de Particionamento de Dados e de Processamento Distribuído fazer DBSCAN com MapReduce. 2016. 63 f. Dissertação (mestrado em ciência da computação)- Universidade Federal do Ceará, Fortaleza-CE, 2016.<br>Submitted by Elineudson Ribeiro (elineudsonr@gmail.com) on 2016-03-22T19:21:02Z No. of bitstreams: 1 2016_dis_acaraujoneto.pdf: 5671232 bytes, checksum: ce91a85d087f63206ad938133c163560 (MD5)<br>Approved for entry into archive by Rocilda Sales (rocilda@ufc.br) on 2016-04-25T12:33:12Z (GMT) No. of bitstreams: 1 2016_dis_acaraujoneto.pdf: 567
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Mahmod, Shad. "Deinterleaving pulse trains with DBSCAN and FART." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379718.

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Studying radar pulses and looking for certain patterns is critical in order to assess the threat level of the environment around an antenna. In order to study the electromagnetic pulses emitted from a certain radar, one must first register and identify these pulses. Usually there are several active transmitters in anenvironment and an antenna will register pulses from various sources. In order to study the different pulse trains, the registered pulses first have to be sorted sothat all pulses that are transmitted from one source are grouped together. This project aims to solve this problem, us
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Кулік, Євгенія Сергіївна, Евгения Сергеевна Кулик, Євгенія Сергіївна Кулік, Захар Вікторович Козлов, Захар Викторович Козлов та Zakhar Viktorovych Kozlov. "Використання SR-дерев у щільнісному методі кластеризації числових просторів DBSCAN". Thesis, Cумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46528.

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Алгоритм щільнісного кластерного аналізу DBSCAN при обробці просторових даних дуже часто потребує знаходження ε-околу точки у n-вимірному просторі. Цей крок алгоритму виконується для кожної точки щонайменше один раз [1], отже покращення ефективності знаходження ε-околу матиме значний вплив на результати роботи алгоритму загалом.
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Kästel, Arne Morten, and Christian Vestergaard. "Comparing performance of K-Means and DBSCAN on customer support queries." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260252.

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In customer support, there are often a lot of repeat questions, and questions that does not need novel answers. In a quest to increase the productivity in the question answering task within any business, there is an apparent room for automatic answering to take on some of the workload of customer support functions. We look at clustering corpora of older queries and texts as a method for identifying groups of semantically similar questions and texts that would allow a system to identify new queries that fit a specific cluster to receive a connected, automatic response. The approach compares the
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Legoabe, Reginald Sethole. "An Impact Assessment of the DBSA/ SALGA ICT Internship Programme: A Case Study." Thesis, North-West University (South Africa), 2010. http://hdl.handle.net/10919/71530.

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The aim of this descriptive and evaluative research study is to assess the impact achieved by the DBSA/ SALGA ICT Internship Programme, a national local government internship programme that was undertaken by South African Local Government Association (SALGA) and the Development Bank of Southern Africa (DBSA) Development Fund in partnership with the South African Communication Forum (SACF), Department of Provincial and Local Government (DPLG) and SIEMENS Ltd Training Institute.A supply-side internship programme in nature, its strategic objectives were to train and equip young South Africans wit
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Мельникова, П. А. "Поиск аномалий во временных рядах на основе оценивания их параметров". Thesis, ХНУРЕ, 2021. https://openarchive.nure.ua/handle/document/16436.

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Anomaly detection in every domain is an important topic of discussion and the knowledge about the effective ways to perform anomaly detection is an important skill to have for any Data Scientist. A problem of anomaly detection in time series is considered. A method is proposed, which allows to detect anomalies in time series efficiently by their parameters.
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Крамар, Іван Ігорович. "Кластеризація даних, що збираються з відібраних джерел науково-технічної інформації". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/36639.

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Метою роботи є застосування кластеризації науково-технічних даних не тільки для наглядного представлення об’єктів, але і для розпізнавання нових. Метою кластеризації документів є автоматичне виявлення груп семантично схожих документів серед заданої фіксованої множини. Групи формуються тільки на основі попарної схожості описів документів, і ніякі характеристики цих груп не задаються заздалегідь. Для видалення неінформативних слів розглянуто методи: видалення стоп-слів, стеммінг, N-діаграми, приведення регістра. Для виділення ключових слів та класифікації результатів використано наступні мето
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Kannamareddy, Aruna Sai. "Density and partition based clustering on massive threshold bounded data sets." Kansas State University, 2017. http://hdl.handle.net/2097/35467.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>The project explores the possibility of increasing efficiency in the clusters formed out of massive data sets which are formed using threshold blocking algorithm. Clusters thus formed are denser and qualitative. Clusters that are formed out of individual clustering algorithms alone, do not necessarily eliminate outliers and the clusters generated can be complex, or improperly distributed over the data set. The threshold blocking algorithm, a current research paper from Michael Higgins of Statistics Depar
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Huo, Shiyin. "Detecting Self-Correlation of Nonlinear, Lognormal, Time-Series Data via DBSCAN Clustering Method, Using Stock Price Data as Example." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1321989426.

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Lind, Emma, and Mattias Stahre. "Deinterleaving of radar pulses with batch processing to utilize parallelism." Thesis, KTH, Kommunikationssystem, CoS, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273737.

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The threat level (specifically in this thesis, for aircraft) in an environment can be determined by analyzing radar signals. This task is critical and has to be solved fast and with high accuracy. The received electromagnetic pulses have to be identified in order to classify a radar emitter. Usually, there are several emitters transmitting radar pulses at the same time in an environment. These pulses need to be sorted into groups, where each group contains pulses from the same emitter. This thesis aims to find a fast and accurate solution to sort the pulses in parallel. The selected approach an
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Amlinger, Anton. "An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices." Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121630.

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Using life-logging devices and wearables is a growing trend in today’s society. These yield vast amounts of information, data that is not directly overseeable or graspable at a glance due to its size. Gathering a qualitative, comprehensible overview over this quantitative information is essential for life-logging services to serve its purpose. This thesis provides an overview comparison of CLARANS, DBSCAN and SLINK, representing different branches of clustering algorithm types, as tools for activity detection in geo-spatial data sets. These activities are then classified using a simple model w
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Roos, Johannes, and Sven Lindqvist. "Identifiering av områden med förhöjd olycksrisk för cyklister baserad på cykelhjälmsdata." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20421.

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Antalet cyklister i Sverige väntas öka under kommande år, men trots stora insatser för trafiksäkerheten minskar inte antalet allvarliga cykelolyckor i samma takt som bilolyckor. Denna studie har tittat på cykelhjälm-tillverkaren Hövdings data som samlats in från deras kunder. Hjälmen fungerar som en krockkudde som löses ut vid en kraftig huvudrörelse som sker vid en olycka. Datan betsår av GPS-positioner tillsammans med ett värde från en Support Vector Machine (SVM) som indikerar hur nära en hjälm är att registrera en olycka och därmed lösas ut. Syftet med studien var att analysera denna data
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Zhang, Xianjie, and Sebastian Bogic. "Datautvinning av klickdata : Kombination av klustring och klassifikation." Thesis, KTH, Hälsoinformatik och logistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230630.

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Ägare av webbplatser och applikationer tjänar ofta på att användare klickar på deras länkar. Länkarna kan bland annat vara reklam eller varor som säljs. Det finns många studier inom dataanalys angående om en sådan länk kommer att bli klickad, men få studier fokuserar på hur länkarna kan justeras för att bli klickade. Problemet som företaget Flygresor.se har är att de saknar ett verktyg för deras kunder, resebyråer, att analysera deras biljetter och därefter justera attributen för resorna. Den efterfrågade lösningen var en applikation som gav förslag på hur biljetterna skulle förändras för att
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Stefan, Vasic, and Lindgren Nicklas. "Product categorisation using machine learning." Thesis, KTH, Data- och elektroteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209031.

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Machine learning is a method in data science for analysing large data sets and extracting hidden patterns and common characteristics in the data. Corporations often have access to databases containing great amounts of data that could contain valuable information. Navetti AB wants to investigate the possibility to automate their product categorisation by evaluating different types of machine learning algorithms. This could increase both time- and cost efficiency. This work resulted in three different prototypes, each using different machine learning algorithms with the ability to categorise pro
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Rojas, Araya Javier Orlando. "Diseño de procesos para la segmentación de clientes según su comportamiento de compra y hábito de consumo en una empresa de consumo masivo." Tesis, Universidad de Chile, 2017. http://repositorio.uchile.cl/handle/2250/145586.

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Magíster en Ingeniería de Negocios con Tecnologías de Información<br>La industria de alimentos de consumo masivo ha ido evolucionando en el tiempo. Los primeros canales de venta para llegar a los clientes finales fueron los almacenes de barrio los que se vieron fuertemente amenazados con la proliferación de grandes cadenas de supermercados. La aparición de internet también creó un nuevo canal que permite a los clientes finales hacer pedidos de productos y pagarlos a través de aplicaciones móviles para finalmente recibirlos en su domicilio. A pesar de esta evolución en los canales, los almacene
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Gao, Yang. "Article identification for inventory list in a warehouse environment." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132.

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In this paper, an object recognition system has been developed that uses local image features. In the system, multiple classes of objects can be recognized in an image. This system is basically divided into two parts: object detection and object identification. Object detection is based on SIFT features, which are invariant to image illumination, scaling and rotation. SIFT features extracted from a test image are used to perform a reliable matching between a database of SIFT features from known object images. Method of DBSCAN clustering is used for multiple object detection. RANSAC method is u
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Fumbata, Nandipha. "Industrial policy, institutions and industrial financing in South Africa: the role of the IDC and DBSA, and lessons from Brazil’s BNDES." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1021278.

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Institutions, particularly development finance institutions (DFIs) have been instrumental in economic development and the implementation of industrial policy throughout history. In 2007, the South African government identified the country’s DFIs as key to the implementation of its new industrial policy framework with the main objective of job creation. This thesis examines the impact that South Africa’s DFIs, particularly the IDC and the DBSA, have had on employment creation from 2010 to 2014. A comparative institutional approach is adopted in a case study analysis examining the role of the st
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Tshabalala, Alfred Mshengu. "Financing public hospitals in South Africa : the case of the Industrial Development Corporation (IDC) and the Development Bank of Southern Africa (DBSA)." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97444.

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Thesis (MDF)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: The research on this topic was motivated by the concern about the state of disarray in the public hospitals infrastructure and that due to budget constrain across the globe, the governments can no longer afford to provide public health services alone without the assistance of the private sector. South African public healthcare system continues to function in a state of disarray. Public hospitals serve the vast majority of the South African population, but are underfunded and in most cases these hospitals have ailing infrastructu
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Lundstedt, Magnus. "Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata." Thesis, Uppsala universitet, Teknisk-naturvetenskapliga fakulteten, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171865.

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Multimedia retrieval systems are very important today with millions of content creators all over the world generating huge multimedia archives. Recent developments allows for content based image and video retrieval. These methods are often quite slow, especially if applied on a library of millions of media items. In this research a novel image retrieval method is proposed, which utilizes spatial metadata on images. By finding clusters of images based on their geographic location, the spatial metadata, and combining this information with existing content- based image retrieval algorithms, the p
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Arce, Munoz Samuel. "Optimized 3D Reconstruction for Infrastructure Inspection with Automated Structure from Motion and Machine Learning Methods." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8469.

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Infrastructure monitoring is being transformed by the advancements on remote sensing, unmanned vehicles and information technology. The wide interaction among these fields and the availability of reliable commercial technology are helping pioneer intelligent inspection methods based on digital 3D models. Commercially available Unmanned Aerial Vehicles (UAVs) have been used to create 3D photogrammetric models of industrial equipment. However, the level of automation of these missions remains low. Limited flight time, wireless transfer of large files and the lack of algorithms to guide a UAV thr
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Peabody, Dustin P. "Detecting Metagame Shifts in League of Legends Using Unsupervised Learning." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2482.

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Over the many years since their inception, the complexity of video games has risen considerably. With this increase in complexity comes an increase in the number of possible choices for players and increased difficultly for developers who try to balance the effectiveness of these choices. In this thesis we demonstrate that unsupervised learning can give game developers extra insight into their own games, providing them with a tool that can potentially alert them to problems faster than they would otherwise be able to find. Specifically, we use DBSCAN to look at League of Legends and the metaga
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Lindroth, Henriksson Amelia. "Unsupervised Anomaly Detection on Time Series Data: An Implementation on Electricity Consumption Series." Thesis, KTH, Matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301731.

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Digitization of the energy industry, introduction of smart grids and increasing regulation of electricity consumption metering have resulted in vast amounts of electricity data. This data presents a unique opportunity to understand the electricity usage and to make it more efficient, reducing electricity consumption and carbon emissions. An important initial step in analyzing the data is to identify anomalies. In this thesis the problem of anomaly detection in electricity consumption series is addressed using four machine learning methods: density based spatial clustering for applications with
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Bergqvist, Jonathan. "Study of Protein Interfaces with Clustering." Thesis, Linköpings universitet, Bioinformatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152471.

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Protein-protein interactions occur in nature and have different functions. The interacting surface between two interacting proteins contains the respective protein's interface residues. In this thesis, a series of Python scripts are presented which can perform interface-interface comparisons with the method InterComp, to obtain a distance matrix of different protein interfaces. The distance matrix can be studied with the use of clustering algorithms such as DBSCAN. The result from clustering using DBSCAN shows that for the 77,017 protein interfaces studied, a majority of the protein interfaces
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Jared, Mohammed Iqbal. "The development region as opposed to the "Homeland" as the essential element of regional development policy." University of the Western Cape, 1991. http://hdl.handle.net/11394/7855.

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Magister Economicae - MEcon<br>This study is an evaluation of development strategies that have been followed in South Africa. Lebowa is used as a case study for an assessment of the present strategy. The basic question is whether or not it is economically, politically and socially effective to follow the "homeland" development strategy. This approach places "homeland" states within confined political borders. Development policies are also confined to these borders. An alternative is to follow a broader regional development strategy, that spans across both political and economic borders. This m
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Faccioli, Caterina. "Spatial analysis in pathomics: a network based method applied on fluorescence microscopy." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25122/.

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Recently, some applications of spatial statistics in histopathology have been explored, also thanks to the development of innovative digital imaging techniques and machine learning algorithms. However, it seems that in all these studies only global spatial measures are considered, usually analysed in combination with other techniques that depart from spatial statistics. In this thesis we developed a new spatial statistic based method for histopathological image analysis, which exploits local spatial features derived from coordinates in space and area of the cells. This features are mostly
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Hodzic, Amer, and Danny Hoang. "Detection of Deviations in Beehives Based on Sound Analysis and Machine Learning." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105316.

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Honeybees are an essential part of our ecosystem as they take care of most of the pollination in the world. They also produce honey, which is the main reason beekeeping was introduced in the first place. As the production of honey is affected by the living conditions of the honeybees, the beekeepers aim to maintain the health of the honeybee societies. TietoEVRY, together with HSB Living Lab, introduced connected beehives in a project named BeeLab. The goal of BeeLab is to provide a service to monitor and gain knowledge about honeybees using the data collected with different sensors. Today the
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Bungula, Wako Tasisa. "Bi-filtration and stability of TDA mapper for point cloud data." Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/6918.

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TDA mapper is an algorithm used to visualize and analyze big data. TDA mapper is applied to a dataset, X, equipped with a filter function f from X to R. The output of the algorithm is an abstract graph (or simplicial complex). The abstract graph captures topological and geometric information of the underlying space of X. One of the interests in TDA mapper is to study whether or not a mapper graph is stable. That is, if a dataset X is perturbed by a small value, and denote the perturbed dataset by X∂, we would like to compare the TDA mapper graph of X to the TDA mapper graph of X∂. Given a topo
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Hanna, Peter, and Erik Swartling. "Anomaly Detection in Time Series Data using Unsupervised Machine Learning Methods: A Clustering-Based Approach." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273630.

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For many companies in the manufacturing industry, attempts to find damages in their products is a vital process, especially during the production phase. Since applying different machine learning techniques can further aid the process of damage identification, it becomes a popular choice among companies to make use of these methods to enhance the production process even further. For some industries, damage identification can be heavily linked with anomaly detection of different measurements. In this thesis, the aim is to construct unsupervised machine learning models to identify anomalies on un
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Shreepathi, Subrahmanya. "Dodecylbenzenesulfonic Acid: A Surfactant and Dopant for the Synthesis of Processable Polyaniline and its Copolymers." Doctoral thesis, Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200602029.

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Das Ziel der vorliegenden Arbeit ist die bessere Verarbeitung von Polyanilin (PANI), da dies bisher ein großer Nachteil unter leitfähigen Polymeren war. Dazu wird ein sperriges Tensid und Dotand, Dodecylbenzensulfonsäure (DBSA) verwendet. Zur Synthese der PANI kommen zwei verschiedene Methoden zur Anwendung, die in dieser Dissertation in zwei Kapiteln beschrieben werden. Im ersten Teil wurden in einem kleinen Reaktionsvolumen (250 mL) PANI-DBSA-Suspensionen synthetisiert, wobei mit einem binären Gemisch aus 2-Propanol und Wasser als Lösungsmittel gearbeitet wird um die Löslichkeit zu unterstüt
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Zanotti, Andrea. "Supporto a query geografiche efficienti su dati spaziali in ambiente Apache Spark." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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La tesi illustra la progettazione e implementazione di un supporto basato su tecnologia Apache Spark per l'analisi di dati di posizionamento in ambito Big Data. Dopo aver analizzato tre estensioni specifiche per il trattamento di dati geografici si è deciso di utilizzare il framework GeoSpark. Al suo interno è stata inserita la tecnica di clustering basata su densità DBSCAN ottimizzata per il funzionamento in architettura distribuita. È presente anche un layer dedicato all'ottimizzazione automatica per la configurazione dei parametri relativi al partizionamento del database sul cluster. Sono s
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Bjurenfalk, Jonatan, and August Johnson. "Automated error matching system using machine learning and data clustering : Evaluating unsupervised learning methods for categorizing error types, capturing bugs, and detecting outliers." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177280.

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For large and complex software systems, it is a time-consuming process to manually inspect error logs produced from the test suites of such systems. Whether it is for identifyingabnormal faults, or finding bugs; it is a process that limits development progress, and requires experience. An automated solution for such processes could potentially lead to efficient fault identification and bug reporting, while also enabling developers to spend more time on improving system functionality. Three unsupervised clustering algorithms are evaluated for the task, HDBSCAN, DBSCAN, and X-Means. In addition,
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Persson, Pontus. "Identifying Early Usage Patterns That Increase User Retention Rates In A Mobile Web Browser." Thesis, Linköpings universitet, Databas och informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-137793.

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One of the major challenges for modern technology companies is user retentionmanagement. This work focuses on identifying early usage patterns that signifyincreased retention rates in a mobile web browser.This is done using a targetedparallel implementation of the association rule mining algorithm FP-Growth.Different item subset selection techniques including clustering and otherstatistical methods have been used in order to reduce the mining time and allowfor lower support thresholds.A lot of interesting rules have been mined. The best retention-wise ruleimplies a retention rate of 99.5%. The
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Jiménez, González Daniel. "ALGORITMOS DE CLUSTERING PARALELOS EN SISTEMAS DE RECUPERACIÓN DE INFORMACIÓN DISTRIBUIDOS." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/11234.

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La información es útil si cuando se necesita está disponible y se puede hacer uso de ella. La disponibilidad suele darse fácilmente cuando la información está bien estructurada y ordenada, y además, no es muy extensa. Pero esta situación no es la más común, cada vez se tiende más a que la cantidad de información ofrecida crezca de forma desmesurada, que esté desestructurada y que no presente un orden claro. La estructuración u ordenación manual es inviable debido a las dimensiones de la información a manejar. Por todo ello se hace clara la utilidad, e incluso la necesidad, de buenos si
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Boccali, Matteo. "Tecniche di Machine Learning Non Supervisionato per riconoscimento licenze." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il lavoro svolto riguarda l'applicazione di tecniche di machine learning non supervisionato per il riconoscimento di modelli su un dataset formato da testi di licenze software. Vengono applicate tecniche di trasformazione del testo in vettori da poter utilizzare poi come dati per degli algoritmi non supervisionati. Sono state applicate diverse tecniche di riduzione e trasformazione delle dimensioni per cercare di aumentare la qualità della rappresentazione in vettori. Sono state inoltre applicate tecniche per cercare di ottimizzare i risultati degli algoritmi non supervisionati.
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Behara, Krishna Nikhil Sumanth. "Origin-destination matrix estimation using big traffic data: A structural perspective." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132444/1/Krishna_Behara_Thesis.pdf.

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With ever increasing traffic demand, cities are facing more serious problems from traffic congestion. It is extremely important to have an accurate estimation of travel demand for strategic planning and control. Lack of such knowledge before implementing major transport infrastructure projects could result in huge economic losses. Thus, this research develops new methods using big traffic data and are thoroughly tested on the Brisbane network. These methods can be readily integrated into the existing state-of-the-art and practice for a better estimation of travel demand.
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Fešar, Marek. "Analýza dat na sociálních sítích s využitím dolování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236086.

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The thesis presents general principles of data mining and it also focuses on specific needs of social networks. Certain social networks, chosen with respect to popularity and availability to Czech users, are discussed from various points of view. The benefits and drawbacks of each are also mentioned. Afterwards, one suitable API is selected for futher analysis. The project explains harvesting data via Twitter API and the process of mining of data from this particular network. Design of a mining algorithm inspired by density based clustering methods is described. The implementation is explained
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Hezoučký, Ladislav. "Nástroj pro shlukovou analýzu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237169.

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The master' s thesis deals with cluster data analysis. There are explained basic concepts and methods from this domain. Result of the thesis is Cluster analysis tool, in which are implemented methods K-Medoids and DBSCAN. Adjusted results on real data are compared with programs Rapid Miner and SAS Enterprise Miner.
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Cova, Riccardo. "Analisi di dati citofluorimetrici con tecniche di Data Mining." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4774/.

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Il citofluorimetro è uno strumento impiegato in biologia genetica per analizzare dei campioni cellulari: esso, analizza individualmente le cellule contenute in un campione ed estrae, per ciascuna cellula, una serie di proprietà fisiche, feature, che la descrivono. L’obiettivo di questo lavoro è mettere a punto una metodologia integrata che utilizzi tali informazioni modellando, automatizzando ed estendendo alcune procedure che vengono eseguite oggi manualmente dagli esperti del dominio nell’analisi di alcuni parametri dell’eiaculato. Questo richiede lo sviluppo di t
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Di, Marzo Giuseppe. "Advanced Analytics per il Marketing: clustering dei clienti fidelizzati." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Questo elaborato descrive un progetto di cluster analysis svolto in Iconsulting per un’azienda di fashion retail. Lo scopo di questo progetto è clusterizzare i clienti fidelizzati dell’azienda di fashion retail e testare varie piattaforme che permettono analisi avanzate, in particolare il clustering. Le clusterizzazioni sono state effettuate tramite il linguaggio R, sono stati sperimentati diversi algoritmi di clustering, tenendo in considerazione effcienza e qualità del risultato. K-means è stato considerato il più adatto degli algoritmi sperimentati. È stata svolta una piccola analisi su
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Hlaváček, Martin. "Snížení paměťové náročnosti stavového zpracování síťového provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236547.

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This master thesis deals with the problems of memory reduction in the stateful network traffic processing. Its goal is to explore new possibilities of memory reduction during network processing. As an introduction this thesis provides motivation and reasons for need to search new method for the memory reduction. In the following part there are theoretical analyses of NetFlow technology and two basic methods which can in principle reduce memory demands of stateful processing. Later on, there is described the design and implementation of solution which contains the application of these two metho
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Veta, Jacob E. "Analysis and Development of a Lower Extremity Osteological Monitoring Tool Based on Vibration Data." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1595879294258019.

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Hlosta, Martin. "Modul pro shlukovou analýzu systému pro dolování z dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237158.

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This thesis deals with the design and implementation of a cluster analysis module for currently developing datamining system DataMiner on FIT BUT. So far, the system lacked cluster analysis module. The main objective of the thesis was therefore to extend the system of such a module. Together with me, Pavel Riedl worked on the module. We have created a common part for all the algorithms so that the system can be easily extended to other clustering algorithms. In the second part, I extended the clustering module by adding three density based clustering aglorithms - DBSCAN, OPTICS and DENCLUE. Al
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Tomešová, Tereza. "Autonomní jednokanálový deinterleaving." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445470.

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This thesis deals with an autonomous single-channel deinterleaving. An autonomous single-channel deinterleaving is a separation of the received sequence of impulses from more than one emitter to sequences of impulses from one emitter without a human assistance. Methods used for deinterleaving could be divided into single-parameter and multiple-parameter methods according to the number of parameters used for separation. This thesis primarily deals with multi-parameter methods. As appropriate methods for an autonomous single-channel deinterleaving DBSCAN and variational bayes methods were chosen
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Dywili, Nomxolisi Ruth. "Development of Metal Nanoparticle-Doped Polyanilino-Graphene Oxide High Performance Supercapacitor Cells." University of the Western Cape, 2018. http://hdl.handle.net/11394/6251.

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Philosophiae Doctor - PhD (Chemistry)<br>Supercapacitors, also known as ultracapacitors or electrochemical capacitors, are considered one of the most important subjects concerning electricity or energy storage which has proven to be problematic for South Africa. In this work, graphene oxide (GO) was supported with platinum, silver and copper nanoparticles anchored with dodecylbenzenesulphonic acid (DBSA) doped polyaniline (PANI) to form nanocomposites. Their properties were investigated with different characterization techniques. The high resolution transmission electron microscopy (HRTE
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SANTOS, Danilo Abreu. "Recomendação pedagógica para melhoria da aprendizagem em redações." Universidade Federal de Campina Grande, 2015. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/550.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-05-02T13:28:09Z No. of bitstreams: 1 DANILO ABREU SANTOS - DISSERTAÇÃO PPGCC 2015..pdf: 2955839 bytes, checksum: 45290d85cdffbae0320f29fc5e633cb6 (MD5)<br>Made available in DSpace on 2018-05-02T13:28:09Z (GMT). No. of bitstreams: 1 DANILO ABREU SANTOS - DISSERTAÇÃO PPGCC 2015..pdf: 2955839 bytes, checksum: 45290d85cdffbae0320f29fc5e633cb6 (MD5) Previous issue date: 2015-08-24<br>A modalidade de educação online tem crescido significativamente nas últimas décadas em todo o mundo, transformando-se em uma opção viável tanto
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Málik, Peter. "Získávání znalostí z multimediálních databází." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-235525.

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This master"s thesis deals with the knowledge discovery in multimedia databases. It contains general principles of knowledge discovery in databases, especially methods of cluster analysis used for data mining in large and multidimensional databases are described here. The next chapter contains introduction to multimedia databases, focusing on the extraction of low level features from images and video data. The practical part is then an implementation of the methods BIRCH, DBSCAN and k-means for cluster analysis. Final part is dedicated to experiments above TRECVid 2008 dataset and description
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Shreepathi, Subrahmanya, Hung Van Hoang, and Rudolf Holze. "Corrosion Protection Performance and Spectroscopic Investigations of Soluble Conducting Polyaniline-Dodecylbenzenesulfonate Synthesized via Inverse Emulsion Procedure." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200900775.

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Corrosion protection performance of a completely soluble polyaniline-dodecylbenzenesulfonic acid salt (PANI-DBSA) on C45 steel has been studied with electrochemical impedance and potentiodynamic measurements. Chloroform is the most suitable solvent to process the pristine PANI-DBSA because of negligible interaction of the solvent with the polyaniline (PANI) backbone. An anodic shift in the corrosion potential (<img src="http://scitation.aip.org/stockgif3/Dgr.gif" alt="Delta" align="bottom" border="0"><i>E</i>=~70&nbsp;&nbsp;mV), a decrease in the corrosion current and a significant increase in
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49

Lanzarone, Lorenzo Biagio. "Manutenzione predittiva di macchinari industriali tramite tecniche di intelligenza artificiale: una valutazione sperimentale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22853/.

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Nella società è in corso un processo di evoluzione tecnologica, il quale sviluppa una connessione tra l’ambiente fisico e l’ambiente digitale, per scambiare dati e informazioni. Nella presente tesi si approfondisce, nel contesto dell’Industria 4.0, la tematica della manutenzione predittiva di macchinari industriali tramite tecniche di intelligenza artificiale, per prevedere in anticipo il verificarsi di un imminente guasto, identificandolo prima ancora che si possa verificare. La presente tesi è divisa in due parti complementari, nella prima parte si approfondiscono gli aspetti teorici relativ
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Boulogne, Fleur Anne. "Building sustainable communities through participation : analysing the transition from participatory planning to implementation in the case of the Grabouw Sustainable Development Initiative." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4273.

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Thesis ((MPhil (Sustainable Development, Planning and Management))--University of Stellenbosch, 2010.<br>ENGLISH ABTRACT: Through the development of sustainable communities, a transformation process can be incited towards a more sustainable way of life. An important prerequisite of this transformation process is behavioural change. This thesis is based on the supposition that participation can contribute to behavioural change. Behaviour which supports the functioning of sustainable systems, is essential in the long term success of sustainable communities. To sustain this behaviour and create
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