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Дисертації з теми "Metadata mining"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 19 лютого 2022

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1

Demšar, Urška. "Exploring geographical metadata by automatic and visual data mining." Licentiate thesis, KTH, Infrastructure, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1779.

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<p>Metadata are data about data. They describe characteristicsand content of an original piece of data. Geographical metadatadescribe geospatial data: maps, satellite images and othergeographically referenced material. Such metadata have twocharacteristics, high dimensionality and diversity of attributedata types, which present a problem for traditional data miningalgorithms.</p><p>Other problems that arise during the exploration ofgeographical metadata are linked to the expertise of the userperforming the analysis. The large amounts of metadata andhundreds of possible attributes limit the exp

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2

Tang, Yaobin. "Butterfly -- A model of provenance." Worcester, Mass. : Worcester Polytechnic Institute, 2009. http://www.wpi.edu/Pubs/ETD/Available/etd-031309-095511/.

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3

Ramakrishnan, Cartic. "Extracting, Representing and Mining Semantic Metadata from Text: Facilitating Knowledge Discovery in Biomedicine." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1222021939.

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4

Dong, Zheng. "Automated Extraction and Retrieval of Metadata by Data Mining : a Case Study of Mining Engine for National Land Survey Sweden." Thesis, University of Gävle, Department of Technology and Built Environment, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-6811.

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<p>Metadata is the important information describing geographical data resources and their key elements. It is used to guarantee the availability and accessibility of the data. ISO 19115 is a metadata standard for geographical information, making the geographical metadata shareable, retrievable, and understandable at the global level. In order to cope with the massive, high-dimensional and high-diversity nature of geographical data, data mining is an applicable method to discover the metadata.</p><p>This thesis develops and evaluates an automated mining method for extracting metadata from the d

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5

Al-Natsheh, Hussein. "Text Mining Approaches for Semantic Similarity Exploration and Metadata Enrichment of Scientific Digital Libraries." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE2062.

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Pour les scientifiques et chercheurs, s’assurer que la connaissance est accessible pour pouvoir être réutilisée et développée est un point crucial. De plus, la façon dont nous stockons et gérons les articles scientifiques et leurs métadonnées dans les bibliothèques numériques détermine la quantité d’articles pertinents que nous pouvons découvrir et auxquels nous pouvons accéder en fonction de la signification réelle d’une requête de recherche. Cependant, sommes-nous en mesure d’explorer tous les documents scientifiques sémantiquement pertinents avec les systèmes existants de recherche d’inform

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6

Petersson, Andreas. "Data mining file sharing metadata : A comparison between Random Forests Classificiation and Bayesian Networks." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11180.

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In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks. This work was performed in two steps. First, a literature analysis was performed to gain insight into how the two techniques work and what types of attacks exist against BitTorrent file sharing networks. After the literature analysis, an experiment was performed to evaluate the accuracy of the two techniques. The results show no sign

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7

Petersson, Andreas. "Data mining file sharing metadata : A comparison between Random Forests Classification and Bayesian Networks." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11285.

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In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks.This work was performed in two steps. First, a literature analysis was performed to gain insight into how the two techniques work and what types of attacks exist against BitTorrent file sharing networks. After the literature analysis, an experiment was performed to evaluate the accuracy of the two techniques.The results show no signif

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8

Ferrill, Paul. "REFERENCE DESIGN FOR A SQUADRON LEVEL DATA ARCHIVAL SYSTEM." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604259.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>As more aircraft are fitted with solid state memory recording systems, the need for a large data archival storage system becomes increasingly important. In addition, there is a need to keep classified and unclassified data separate but available to the aircrews for training and debriefing along with some type of system for cataloging and searching for specific missions. This

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9

Lockard, Michael T., R. Rajagopalan, and James A. Garling. "MINING IRIG-106 CHAPTER 10 AND HDF-5 DATA." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604264.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>Rapid access to ever-increasing amounts of test data is becoming a problem. The authors have developed a data-mining methodology solution approach to provide a solution to catalog test files, search metadata attributes to derive test data files of interest, and query test data measurements using a web-based engine to produce results in seconds. Generated graphs allow the use

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10

Srinivasan, Uma Computer Science &amp Engineering Faculty of Engineering UNSW. "A FRAMEWORK FOR CONCEPTUAL INTEGRATION OF HETEROGENEOUS DATABASES." Awarded by:University of New South Wales. School of Computer Science and Engineering, 1997. http://handle.unsw.edu.au/1959.4/33463.

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Autonomy of operations combined with decentralised management of data has given rise to a number of heterogeneous databases or information systems within an enterprise. These systems are often incompatible in structure as well as content and hence difficult to integrate. This thesis investigates the problem of heterogeneous database integration, in order to meet the increasing demand for obtaining meaningful information from multiple databases without disturbing local autonomy. In spite of heterogeneity, the unity of overall purpose within a common application domain, nevertheless, provides

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11

Kamenieva, Iryna. "Research Ontology Data Models for Data and Metadata Exchange Repository." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-6351.

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<p>For researches in the field of the data mining and machine learning the necessary condition is an availability of various input data set. Now researchers create the databases of such sets. Examples of the following systems are: The UCI Machine Learning Repository, Data Envelopment Analysis Dataset Repository, XMLData Repository, Frequent Itemset Mining Dataset Repository. Along with above specified statistical repositories, the whole pleiad from simple filestores to specialized repositories can be used by researchers during solution of applied tasks, researches of own algorithms and scienti

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12

Šmerda, Vojtěch. "Grafický editor metadat pro OLAP." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235893.

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This thesis describes OLAP and data mining technologies and methods of their communication with users by using dynamic tables. Key theoretical and technical information is also included. Next part focuses on particular implementation of dynamic tables used in Vema portal solution. Last parts come close to analysis and implementation of the metadata editor which enables the metadata to be effectively designed.

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13

Alserafi, Ayman. "Dataset proximity mining for supporting schema matching and data lake governance." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/671540.

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With the huge growth in the amount of data generated by information systems, it is common practice today to store datasets in their raw formats (i.e., without any data preprocessing or transformations) in large-scale data repositories called Data Lakes (DLs). Such repositories store datasets from heterogeneous subject-areas (covering many business topics) and with many different schemata. Therefore, it is a challenge for data scientists using the DL for data analysis to find relevant datasets for their analysis tasks without any support or data governance. The goal is to be able to extract met

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14

Savalli, Antonino. "Tecniche analitiche per “Open Data”." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17476/.

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L’ultimo decennio ha reso estremamente popolare il concetto di Open Government, un modello di amministrazione aperto che fonda le sue basi sui principi di trasparenza, partecipazione e collaborazione. Nel 2011, nasce il progetto Dati.gov.it, un portale che ha il ruolo di “catalogo nazionale dei metadati relativi ai dati rilasciati in formato aperto dalle pubbliche amministrazioni italiane”. L'obiettivo della tesi è fornire un efficace strumento per ricercare, usare e confrontare le informazioni presenti sul portale Dati.gov.it, individuando tra i dataset similarità che possano risolvere e/o l

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15

Bauckmann, Jana, Ziawasch Abedjan, Ulf Leser, Heiko Müller, and Felix Naumann. "Covering or complete? : Discovering conditional inclusion dependencies." Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/6208/.

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Data dependencies, or integrity constraints, are used to improve the quality of a database schema, to optimize queries, and to ensure consistency in a database. In the last years conditional dependencies have been introduced to analyze and improve data quality. In short, a conditional dependency is a dependency with a limited scope defined by conditions over one or more attributes. Only the matching part of the instance must adhere to the dependency. In this paper we focus on conditional inclusion dependencies (CINDs). We generalize the definition of CINDs, distinguishing covering and complete

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16

Alves, Luiz Gustavo Pacola. "CollaboraTVware: uma infra-estrutura ciente de contexto para suporte a participação colaborativa no cenário da TV Digital Interativa." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-20072009-114734/.

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O advento da TV Digital Interativa no mundo modifica, em definitivo, a experiência do usuário em assistir a TV, tornando-a mais rica principalmente pelo uso do recurso da interatividade. Os usuários passam a ser pró-ativos e começam a interagir das mais diversas formas: construção de comunidades virtuais, discussão sobre um determinado conteúdo, envio de mensagens e recomendações, dentre outras. Neste cenário a participação dos usuários de forma colaborativa assume um papel importante e essencial. Aliado a isso, a recepção na TV Digital Interativa é feita através de dispositivos computacionais

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17

Raad, Elie. "Découverte des relations dans les réseaux sociaux." Phd thesis, Université de Bourgogne, 2011. http://tel.archives-ouvertes.fr/tel-00702269.

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Les réseaux sociaux occupent une place de plus en plus importante dans notre vie quotidienne et représentent une part considérable des activités sur le web. Ce succès s'explique par la diversité des services/fonctionnalités de chaque site (partage des données souvent multimédias, tagging, blogging, suggestion de contacts, etc.) incitant les utilisateurs à s'inscrire sur différents sites et ainsi à créer plusieurs réseaux sociaux pour diverses raisons (professionnelle, privée, etc.). Cependant, les outils et les sites existants proposent des fonctionnalités limitées pour identifier et organiser

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18

Moreux, Jean-Philippe, and Guillaume Chiron. "Image Retrieval in Digital Libraries: A Large Scale Multicollection Experimentation of Machine Learning techniques." Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden, 2017. https://slub.qucosa.de/id/qucosa%3A16444.

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While historically digital heritage libraries were first powered in image mode, they quickly took advantage of OCR technology to index printed collections and consequently improve the scope and performance of the information retrieval services offered to users. But the access to iconographic resources has not progressed in the same way, and the latter remain in the shadows: manual incomplete and heterogeneous indexation, data silos by iconographic genre. Today, however, it would be possible to make better use of these resources, especially by exploiting the enormous volumes of OCR produced dur

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19

Engvall, Tove. "Nyckeln till arkiven : En kritisk diskursanalytisk studie om interoperabilitet och kollektivt minne." Thesis, Mittuniversitetet, Avdelningen för arkiv- och datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-21171.

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In the democratic process, of discussion and decision making, there is a need of reliable and authentic information. Archives are authentic and reliable information and also provides long term accessibility. But the public archives potential isn´t utilized enough at a societal level. The public archives are organized in a decentralised manner, and there are no common accesspoint at a national level. In the thesis this issue of accessibility and use at a societal level, is discussed in terms of collective memory. In a digital environment, these organizational limits could probably be overcome,

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20

Langenberg, Tristan Matthias [Verfasser], Florentin [Akademischer Betreuer] Wörgötter, Florentin [Gutachter] Wörgötter, Carsten [Gutachter] Damm, Wolfgang [Gutachter] May, Jens [Gutachter] Grabowski, Stephan [Gutachter] Waack, and Minija [Gutachter] Tamosiunaite. "Deep Learning Metadata Fusion for Traffic Light to Lane Assignment / Tristan Matthias Langenberg ; Gutachter: Florentin Wörgötter, Carsten Damm, Wolfgang May, Jens Grabowski, Stephan Waack, Minija Tamosiunaite ; Betreuer: Florentin Wörgötter." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1191989100/34.

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21

Γιαννακούδη, Θεοδούλα. "Προηγμένες τεχνικές και αλγόριθμοι εξόρυξης γνώσης για την προσωποποίηση της πρόσβασης σε δικτυακούς τόπους". 2005. http://nemertes.lis.upatras.gr/jspui/handle/10889/151.

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Η προσωποποίηση του ιστού είναι ένα πεδίο που έχει κερδίσει μεγάλη προσοχή όχι μόνο στην ερευνητική περιοχή, όπου πολλές ερευνητικές μονάδες έχουν ασχοληθεί με το πρόβλημα από διαφορετικές μεριές, αλλά και στην επιχειρησιακή περιοχή, όπου υπάρχει μία ποικιλία εργαλείων και εφαρμογών που διαθέτουν ένα ή περισσότερα modules στη διαδικασία της εξατομίκευσης. Ο στόχος όλων αυτών είναι, εξερευνώντας τις πληροφορίες που κρύβονται στα logs του εξυπηρετητή δικτύου να ανακαλύψουν τις αλληλεπιδράσεις μεταξύ των επισκεπτών των ιστότοπων και των ιστοσελίδων που περιέχονται σε αυτούς. Οι πληροφορίες αυτές

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22

Schöneberg, Hendrik. "Semiautomatische Metadaten-Extraktion und Qualitätsmanagement in Workflow-Systemen zur Digitalisierung historischer Dokumente." Doctoral thesis, 2014. https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-104878.

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Performing Named Entity Recognition on ancient documents is a time-consuming, complex and error-prone manual task. It is a prerequisite though to being able to identify related documents and correlate between named entities in distinct sources, helping to precisely recreate historic events. In order to reduce the manual effort, automated classification approaches could be leveraged. Classifying terms in ancient documents in an automated manner poses a difficult task due to the sources’ challenging syntax and poor conservation states. This thesis introduces and evaluates approaches that can cop

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