Auswahl der wissenschaftlichen Literatur zum Thema „Data mining – social aspects“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Data mining – social aspects" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Data mining – social aspects"
Eltaher, Mohammed, und Jeongkyu Lee. „Social User Mining“. International Journal of Multimedia Data Engineering and Management 4, Nr. 4 (Oktober 2013): 58–70. http://dx.doi.org/10.4018/ijmdem.2013100104.
Der volle Inhalt der QuelleAl-Saggaf, Yeslam, und Md Zahidul Islam. „Data Mining and Privacy of Social Network Sites’ Users: Implications of the Data Mining Problem“. Science and Engineering Ethics 21, Nr. 4 (12.06.2014): 941–66. http://dx.doi.org/10.1007/s11948-014-9564-6.
Der volle Inhalt der QuelleWang, Chen-Ya, und Hsia-Ching Chang. „Choice Modeling of Enterprise Social Media Adoptions“. International Journal of E-Adoption 11, Nr. 1 (Januar 2019): 12–24. http://dx.doi.org/10.4018/ijea.2019010102.
Der volle Inhalt der QuelleMir, J., A. Mahmood und S. Khatoon. „Aspect Βased Classification Model for Social Reviews“. Engineering, Technology & Applied Science Research 7, Nr. 6 (18.12.2017): 2296–302. http://dx.doi.org/10.48084/etasr.1578.
Der volle Inhalt der QuelleLICCUD-AMBEGUIA, FLORENCE H. „ENHANCING MINING COMMUNITY SERVICES THROUGH CORPORATE SOCIAL RESPONSIBILITY AND SOCIAL DEVELOPMENT MANAGEMENT STRATEGIES“. Cognizance Journal of Multidisciplinary Studies 3, Nr. 11 (30.11.2023): 58–97. http://dx.doi.org/10.47760/cognizance.2023.v03i11.006.
Der volle Inhalt der QuelleDahish, Zahra, und Shah J. Miah. „EXPLORING SENTIMENT ANALYSIS RESEARCH: A SOCIAL MEDIA DATA PERSPECTIVE“. International Journal on Soft Computing 14, Nr. 1 (27.02.2023): 1–12. http://dx.doi.org/10.5121/ijsc.2023.14101.
Der volle Inhalt der QuelleHuang, Chi-Yo, Chia-Lee Yang und Yi-Hao Hsiao. „A Novel Framework for Mining Social Media Data Based on Text Mining, Topic Modeling, Random Forest, and DANP Methods“. Mathematics 9, Nr. 17 (25.08.2021): 2041. http://dx.doi.org/10.3390/math9172041.
Der volle Inhalt der QuelleTrandafili, Evis, und Marenglen Biba. „A Review of Machine Learning and Data Mining Approaches for Business Applications in Social Networks“. International Journal of E-Business Research 9, Nr. 1 (Januar 2013): 36–53. http://dx.doi.org/10.4018/jebr.2013010103.
Der volle Inhalt der QuelleCAO, LONGBING, und CHENGQI ZHANG. „THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING“. International Journal of Pattern Recognition and Artificial Intelligence 21, Nr. 04 (Juni 2007): 677–92. http://dx.doi.org/10.1142/s0218001407005612.
Der volle Inhalt der QuelleSeadle, Michael S. „Managing and mining historical research data“. Library Hi Tech 34, Nr. 1 (21.03.2016): 172–79. http://dx.doi.org/10.1108/lht-09-2015-0086.
Der volle Inhalt der QuelleDissertationen zum Thema "Data mining – social aspects"
Chen, Weidong. „Discovering communities by information diffusion and link density propagation“. HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1422.
Der volle Inhalt der QuelleNguyen, Ngoc Buu Cat. „Data Mining in Knowledge Management Processes: Developing an Implementing Framework“. Thesis, Umeå universitet, Institutionen för informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149668.
Der volle Inhalt der QuelleYang, Shuang-Hong. „Predictive models for online human activities“. Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43689.
Der volle Inhalt der QuelleCai, Zhongming. „Technical aspects of data mining“. Thesis, Cardiff University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395784.
Der volle Inhalt der QuelleEriksson, Jesper, und Samuel Björeqvist. „Datadriven Innovation : En komparativ studie om dataanalysmetoder och verktyg för små företag“. Thesis, Umeå universitet, Institutionen för informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149865.
Der volle Inhalt der QuelleWang, Guan. „Graph-Based Approach on Social Data Mining“. Thesis, University of Illinois at Chicago, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3668648.
Der volle Inhalt der QuellePowered by big data infrastructures, social network platforms are gathering data on many aspects of our daily lives. The online social world is reflecting our physical world in an increasingly detailed way by collecting people's individual biographies and their various of relationships with other people. Although massive amount of social data has been gathered, an urgent challenge remain unsolved, which is to discover meaningful knowledge that can empower the social platforms to really understand their users from different perspectives.
Motivated by this trend, my research addresses the reasoning and mathematical modeling behind interesting phenomena on social networks. Proposing graph based data mining framework regarding to heterogeneous data sources is the major goal of my research. The algorithms, by design, utilize graph structure with heterogeneous link and node features to creatively represent social networks' basic structures and phenomena on top of them.
The graph based heterogeneous mining methodology is proved to be effective on a series of knowledge discovery topics, including network structure and macro social pattern mining such as magnet community detection (87), social influence propagation and social similarity mining (85), and spam detection (86). The future work is to consider dynamic relation on social data mining and how graph based approaches adapt from the new situations.
Ip, Lai Cheng. „Mining on social network community for marketing“. Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950661.
Der volle Inhalt der QuelleCosta, Alceu Ferraz. „Mining User Activity Data in Social Media Services“. Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-11092017-151000/.
Der volle Inhalt der QuelleO impacto dos serviços de mídia social em nossa sociedade é crescente. Indivíduos frequentemente utilizam mídias sociais para obter notícias, decidir quais os produtos comprar ou para se comunicar com amigos. Como consequência da adoção generalizada de mídias sociais, um grande volume de dados sobre como os usuários se comportam é gerado diariamente e armazenado em grandes bancos de dados. Aprender a analisar e extrair conhecimentos úteis a partir destes dados tem uma série de potenciais aplicações. Por exemplo, um entendimento mais detalhado sobre como usuários legítimos interagem com serviços de mídia social poderia ser explorado para projetar métodos mais precisos de detecção de spam e fraude. Esta pesquisa de doutorado baseia-se na seguinte hipótese: dados gerados por usuários de mídia social apresentam padrões que podem ser explorados para melhorar a eficácia de tarefas como previsão e modelagem no domínio das mídias sociais. Para validar esta hipótese, foram projetados métodos de mineração de dados adaptados aos dados de mídia social. As principais contribuições desta pesquisa de doutorado podem ser divididas em três partes. Primeiro, foi desenvolvido o Act-M, um modelo matemático que descreve o tempo das ações dos usuários. O autor demonstrou que o Act-M pode ser usado para detectar automaticamente bots entre usuários de mídia social com base apenas nos dados de tempo. A segunda contribuição desta tese é o VnC (Vote-and- Comment), um modelo que explica como o volume de diferentes tipos de interações de usuário evolui ao longo do tempo quando um conteúdo é submetido a um serviço de mídia social. Além de descrever precisamente os dados reais, o VnC é útil, pois pode ser empregado para prever o número de interações recebidas por determinado conteúdo de mídia social. Por fim, nossa terceira contribuição é o método MFS-Map. O MFS-Map fornece automaticamente anotações textuais para imagens de mídias sociais, combinando eficientemente características visuais e de metadados das imagens. As contribuições deste doutorado foram validadas utilizando dados reais de diversos serviços de mídia social. Os experimentos mostraram que os modelos Act-M e VnC forneceram um ajuste mais preciso aos dados quando comparados, respectivamente, a modelos existentes para dinâmica de comunicação e difusão de informação. O MFS-Map obteve precisão superior e tempo de execução reduzido quando comparado com outros métodos amplamente utilizados para anotação de imagens.
Meneghello, James. „A scalable framework for integrated social data mining“. Thesis, Meneghello, James (2017) A scalable framework for integrated social data mining. PhD thesis, Murdoch University, 2017. https://researchrepository.murdoch.edu.au/id/eprint/36690/.
Der volle Inhalt der QuelleAlsaleh, Slah. „Recommending people in social networks using data mining“. Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/61736/1/Slah_Alsaleh_Thesis.pdf.
Der volle Inhalt der QuelleBücher zum Thema "Data mining – social aspects"
1954-, Eyob Ephrem, Hrsg. Social implications of data mining and information privacy: Interdisciplinary frameworks and solutions. Hershey PA: Information Science Reference, 2009.
Den vollen Inhalt der Quelle findenAbraham, Ajith. Computational Social Networks: Mining and Visualization. London: Springer London, 2012.
Den vollen Inhalt der Quelle findenBoellstorff, Tom, und Bill Maurer. Data, now bigger and better! Chicago: Prickly Paradigm Press, 2015.
Den vollen Inhalt der Quelle findenEric, Hunter. The Sherlock syndrome: Strategic success through big data and the Darwinian disruption. London: Ark Group, 2014.
Den vollen Inhalt der Quelle findenMayer-Schönberger, Viktor. Big data: Rewolucja, która zmieni nasze myślenie, pracę i życie. Warszawa: MT Biznes, 2014.
Den vollen Inhalt der Quelle findenSin, Tong-hŭi. Pik teit'ŏllŏji. Sŏul-si: K'ŏmyunik'eisyŏn Puksŭ, 2015.
Den vollen Inhalt der Quelle findenMayer-Schönberger, Viktor. Dữ liệu lớn: Cuộc cách mạng sẽ làm thay đổi cách chúng ta sống, làm việc và tư duy. TP. Hồ Chí Minh: Nhà xuất bản Trẻ, 2014.
Den vollen Inhalt der Quelle findenMayer-Schönberger, Viktor. Big data: A revolution that will transform how we live, work, and think. Boston: Mariner Books, Houghton Mifflin Harcourt, 2014.
Den vollen Inhalt der Quelle findenMayer-Schonberger, Viktor. Da shu ju shi dai. 8. Aufl. Hangzhou: Zhejiang ren min chu ban she, 2013.
Den vollen Inhalt der Quelle findenMemon, Nasrullah, und Reda Alhajj. From sociology to computing in social networks: Theory, foundations and applications. Wien: Springer, 2010.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Data mining – social aspects"
Hochreiter, Ronald, und Christoph Waldhauser. „Data Mining Cultural Aspects of Social Media Marketing“. In Advances in Data Mining. Applications and Theoretical Aspects, 130–43. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08976-8_10.
Der volle Inhalt der QuelleTung, Kuan-Chieh, En Tzu Wang und Arbee L. P. Chen. „Mining Event Sequences from Social Media for Election Prediction“. In Advances in Data Mining. Applications and Theoretical Aspects, 266–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41561-1_20.
Der volle Inhalt der QuelleJin, Fang, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen und Naren Ramakrishnan. „Tracking Multiple Social Media for Stock Market Event Prediction“. In Advances in Data Mining. Applications and Theoretical Aspects, 16–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62701-4_2.
Der volle Inhalt der QuelleNohuddin, Puteri N. E., Rob Christley, Frans Coenen und Christian Setzkorn. „Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database“. In Advances in Data Mining. Applications and Theoretical Aspects, 464–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14400-4_36.
Der volle Inhalt der QuelleAl Essa, Ali, und Miad Faezipour. „MapReduce and Spark-Based Analytic Framework Using Social Media Data for Earlier Flu Outbreak Detection“. In Advances in Data Mining. Applications and Theoretical Aspects, 246–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62701-4_19.
Der volle Inhalt der QuelleHuang, Chun-Che, Yu-Jie Fang, Shian-Hua Lin, Wen-Yau Liang und Shu-Rong Wu. „Development of Issue Sets from Social Big Data: A Case Study of Green Energy and Low-Carbon“. In Advances in Data Mining. Applications and Theoretical Aspects, 139–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41561-1_11.
Der volle Inhalt der QuelleBorms, Samuel, Kris Boudt, Frederiek Van Holle und Joeri Willems. „Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies“. In Data Science for Economics and Finance, 217–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_10.
Der volle Inhalt der QuelleAggarwal, Charu C. „Social Network Analysis“. In Data Mining, 619–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14142-8_19.
Der volle Inhalt der QuelleKapoor, Komal, und Jaideep Srivastava. „Data Mining“. In Encyclopedia of Social Network Analysis and Mining, 332–41. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_56.
Der volle Inhalt der QuelleMarcus, Sherry E., Melanie Moy und Thayne Coffman. „Social Network Analysis“. In Mining Graph Data, 443–68. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470073049.ch17.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Data mining – social aspects"
Gino, Henrique L. S., Diogenes S. Pedro, Jean R. Ponciano, Claudio D. G. Linhares und Agma J. M. Traina. „Exploratory Analysis on Market Basket Data using Network Visualization“. In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/brasnam.2023.229505.
Der volle Inhalt der QuelleChang, Chia-Hui, und Kun-Chang Tsai. „Aspect Summarization from Blogsphere for Social Study“. In 2007 Seventh IEEE International Conference on Data Mining - Workshops (ICDM Workshops). IEEE, 2007. http://dx.doi.org/10.1109/icdmw.2007.42.
Der volle Inhalt der Quelle„E-Government Development Models: Review of Social-Technical Security Aspect“. In International conference on Intelligent Systems, Data Mining and Information Technology. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/iie.e0414057.
Der volle Inhalt der QuelleSouza, Bruno Á., Alice A. F. Menezes, Carlos M. S. Figueiredo, Fabíola G. Nakamura und Eduardo F. Nakamura. „Detecção de Categorias de Aspectos Utilizando Redes Neurais Profundas em Avaliações Online“. In VII Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/brasnam.2018.3582.
Der volle Inhalt der QuelleKim, Seungbae, Jyun-Yu Jiang und Wei Wang. „Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning“. In WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3437963.3441803.
Der volle Inhalt der QuelleVukašinović, Sandra. „Demographic aspects of the planned resettlement of settlements in Lazarevac municipality“. In Population in Post-Yugoslav Countries: (Dis)Similarities and Perspectives. Institute of Social Sciences, 2024. http://dx.doi.org/10.59954/ppycdsp2024.50.
Der volle Inhalt der QuelleInácio, Andrei De Souza, Leandro Takeshi Hatori, Matheus Gutoski, André Eugênio Lazzaretti und Heitor Silvério Lopes. „Análise da fragmentação partidária na Assembleia Legislativa do Rio Grande do Sul com Métodos de Mineração de Dados“. In VIII Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2019.6558.
Der volle Inhalt der QuelleDuluta, Andreistefan, Stefan Mocanu, Daniela Saru, Radu nicolae Pietraru und Mihai Craciunescu. „MODERN TECHNIQUES ON LEARNING STRATEGIES SUPPORTED BY DATA MINING ANALYSIS“. In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-100.
Der volle Inhalt der QuelleMorina, Gazmend, und Gani Kastrati. „ENVIRONMENTAL EXPENDITURE OF ENTERPRISES, IN MINING SECTOR IN KOSOVO“. In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/5.1/s21.072.
Der volle Inhalt der QuelleBustamante, Juan, Leonardo Kuffo, Edgar Izquierdo und Carmen Vaca. „Automated Detection of Customer Experience through Social Platforms“. In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8347.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Data mining – social aspects"
Fairchild, Geoffrey, Rian Mustafa Bahran und Garrett Earl McMath. Working Group on Social Internet Data Mining and Analytics for Nuclear Nonproliferation. Office of Scientific and Technical Information (OSTI), Oktober 2015. http://dx.doi.org/10.2172/1223758.
Der volle Inhalt der QuellePriester, Michael, Malaika Masson und Martin Walter. Incentivizing Clean Technology in the Mining Sector in Latin America and the Caribbean: The Role of Public Mining Institutions. Inter-American Development Bank, Dezember 2013. http://dx.doi.org/10.18235/0009148.
Der volle Inhalt der QuelleRipoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane und Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), Januar 2021. http://dx.doi.org/10.19088/sshap.2021.001.
Der volle Inhalt der QuelleRipoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane und Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), Januar 2021. http://dx.doi.org/10.19088/sshap.2021.001.
Der volle Inhalt der QuelleSchmidt-Sane, Megan, Tabitha Hrynick, Jennifer Cole, Santiago Ripoll und Olivia Tulloch. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), Januar 2021. http://dx.doi.org/10.19088/sshap.2021.009.
Der volle Inhalt der QuelleOppel, Annalena. Beyond Informal Social Protection – Personal Networks of Economic Support in Namibia. Institute of Development Studies (IDS), November 2020. http://dx.doi.org/10.19088/ids.2020.002.
Der volle Inhalt der QuelleLora, Eduardo. The Distance between Perception and Reality in the Social Domains of Life. Inter-American Development Bank, August 2013. http://dx.doi.org/10.18235/0011489.
Der volle Inhalt der QuelleMayne, Alison, Christina Noble, Paula Duffy, Kirsten Gow, Alexander Glasgow, Kevin O’Neill, Jeni Reid und Diana Valero. Navigating Digital Ethics for Rural Research: Guidelines and recommendations for researchers and administrators of social media groups. DigiEthics: Navigating Digital Ethics for Rural Research, November 2023. http://dx.doi.org/10.57064/2164/22326.
Der volle Inhalt der QuelleDeJaeghere, Joan, Vu Dao, Bich-Hang Duong und Phuong Luong. Inequalities in Learning in Vietnam: Teachers’ Beliefs About and Classroom Practices for Ethnic Minorities. Research on Improving Systems of Education (RISE), Februar 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/061.
Der volle Inhalt der QuelleWickenden, Mary. Practical Guides for Participatory methods: Disability Inclusive Research. Institute of Development Studies, August 2023. http://dx.doi.org/10.19088/ids.2023.045.
Der volle Inhalt der Quelle