16 resultados para Data anonymization and sanitization
Filtro por publicador
- JISC Information Environment Repository (5)
- Aberdeen University (5)
- Abertay Research Collections - Abertay University’s repository (2)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (9)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (4)
- Archive of European Integration (12)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (37)
- Boston University Digital Common (3)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- Cambridge University Engineering Department Publications Database (18)
- CentAUR: Central Archive University of Reading - UK (49)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (2)
- Cochin University of Science & Technology (CUSAT), India (3)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (16)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Cornell: DigitalCommons@ILR (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (3)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (64)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (2)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (16)
- Digital Peer Publishing (3)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (3)
- Düsseldorfer Dokumenten- und Publikationsservice (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (13)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (10)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (23)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (1)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (106)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (25)
- Queensland University of Technology - ePrints Archive (282)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (7)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (1)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (7)
- Universidad Politécnica de Madrid (14)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (47)
- University of Queensland eSpace - Australia (11)
- University of Southampton, United Kingdom (13)
- University of Washington (6)
- WestminsterResearch - UK (4)
Resumo:
Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.