1 resultado para text mining clusterizzazione clustering auto-organizzazione conoscenza MoK
em Martin Luther Universitat Halle Wittenberg, Germany
Filtro por publicador
- JISC Information Environment Repository (3)
- Aberdeen University (3)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Archive On-line (Mid Sweden University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Campus - Alm@DL - Università di Bologna (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (29)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Argos - Repositorio Institucional de la Secretaría de Investigación y Postgrado de la Facultad de Humanidades y Ciencias Sociales de la Universidad Nacional de Misiones (2)
- Aston University Research Archive (13)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (5)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (7)
- Cambridge University Engineering Department Publications Database (4)
- CentAUR: Central Archive University of Reading - UK (45)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (2)
- Cochin University of Science & Technology (CUSAT), India (3)
- Collection Of Biostatistics Research Archive (1)
- Dalarna University College Electronic Archive (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Michigan Tech (15)
- Digital Commons - Montana Tech (9)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (19)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (3)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (5)
- Glasgow Theses Service (1)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (14)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (3)
- Indian Institute of Science - Bangalore - Índia (9)
- Instituto Politécnico do Porto, Portugal (12)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- National Center for Biotechnology Information - NCBI (14)
- Open University Netherlands (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (12)
- Queensland University of Technology - ePrints Archive (207)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade de Brasília (2)
- Repositorio Institucional de la Universidad de Málaga (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (13)
- Research Open Access Repository of the University of East London. (5)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- School of Medicine, Washington University, United States (3)
- Scielo Uruguai (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (2)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (9)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (8)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universidade Metodista de São Paulo (6)
- Universitat de Girona, Spain (6)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (5)
- University of Michigan (254)
- University of Queensland eSpace - Australia (4)
- University of Southampton, United Kingdom (3)
- University of Washington (2)
Resumo:
The master thesis presents methods for intellectual analysis and visualization 3D EKG in order to increase the efficiency of ECG analysis by extracting additional data. Visualization is presented as part of the signal analysis tasks considered imaging techniques and their mathematical description. Have been developed algorithms for calculating and visualizing the signal attributes are described using mathematical methods and tools for mining signal. The model of patterns searching for comparison purposes of accuracy of methods was constructed, problems of a clustering and classification of data are solved, the program of visualization of data is also developed. This approach gives the largest accuracy in a task of the intellectual analysis that is confirmed in this work. Considered visualization and analysis techniques are also applicable to the multi-dimensional signals of a different kind.