Livros sobre o tema "Data mining – social aspects"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 50 melhores livros para estudos sobre o assunto "Data mining – social aspects".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os livros das mais diversas áreas científicas e compile uma bibliografia correta.
1954-, Eyob Ephrem, ed. Social implications of data mining and information privacy: Interdisciplinary frameworks and solutions. Hershey PA: Information Science Reference, 2009.
Encontre o texto completo da fonteAbraham, Ajith. Computational Social Networks: Mining and Visualization. London: Springer London, 2012.
Encontre o texto completo da fonteBoellstorff, Tom, e Bill Maurer. Data, now bigger and better! Chicago: Prickly Paradigm Press, 2015.
Encontre o texto completo da fonteEric, Hunter. The Sherlock syndrome: Strategic success through big data and the Darwinian disruption. London: Ark Group, 2014.
Encontre o texto completo da fonteMayer-Schönberger, Viktor. Big data: Rewolucja, która zmieni nasze myślenie, pracę i życie. Warszawa: MT Biznes, 2014.
Encontre o texto completo da fonteSin, Tong-hŭi. Pik teit'ŏllŏji. Sŏul-si: K'ŏmyunik'eisyŏn Puksŭ, 2015.
Encontre o texto completo da fonteMayer-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.
Encontre o texto completo da fonteMayer-Schönberger, Viktor. Big data: A revolution that will transform how we live, work, and think. Boston: Mariner Books, Houghton Mifflin Harcourt, 2014.
Encontre o texto completo da fonteMayer-Schonberger, Viktor. Da shu ju shi dai. 8a ed. Hangzhou: Zhejiang ren min chu ban she, 2013.
Encontre o texto completo da fonteMemon, Nasrullah, e Reda Alhajj. From sociology to computing in social networks: Theory, foundations and applications. Wien: Springer, 2010.
Encontre o texto completo da fonteO'Neil, Cathy. Weapons of math destruction: How big data increases inequality and threatens democracy. Great Britain: Allen Lane, 2016.
Encontre o texto completo da fonteAnderson, Paul. Web 2.0 and beyond: Principles and technologies. Boca Raton: Chapman and Hall/CRC, 2012.
Encontre o texto completo da fonteZhang, Jianping, Huan Liu e Arunabha Sen. Social Computing: A Data Mining Perspective. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteZhang, Jianping, Huan Liu e Arunabha Sen. Social Computing: A Data Mining Perspective. Taylor & Francis Group, 2009.
Encontre o texto completo da fonteEthical Data Mining Applications For Socioeconomic Development. Idea Group,U.S., 2013.
Encontre o texto completo da fonteCompromised data: From social media to big data. Bloomsbury Academic, 2015.
Encontre o texto completo da fonteMau, Steffen. Metric Society: On the Quantification of the Social. Polity Press, 2019.
Encontre o texto completo da fonteMau, Steffen. Metric Society: On the Quantification of the Social. Polity Press, 2019.
Encontre o texto completo da fonteMau, Steffen. The Metric Society: On the Quantification of the Social. Wiley-Interscience, 2019.
Encontre o texto completo da fonteStephens-Davidowitz, Seth. Everybody lies: Big data, new data, and what the Internet can tell us about who we really are. 2017.
Encontre o texto completo da fonteStephens-Davidowitz, Seth. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are. HarperCollins Publishers, 2017.
Encontre o texto completo da fonteStephens-Davidowitz, Seth. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. Dey Street Books, 2018.
Encontre o texto completo da fonteAbraham, Ajith. Computational Social Networks: Mining and Visualization. Springer, 2014.
Encontre o texto completo da fonteLuna-Reyes, Luis F., e Holly Jarman. Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains. Springer London, Limited, 2016.
Encontre o texto completo da fonteLuna-Reyes, Luis F., e Holly Jarman. Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains. Springer, 2018.
Encontre o texto completo da fonteLuna-Reyes, Luis F., e Holly Jarman. Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains. Springer, 2016.
Encontre o texto completo da fonteHubbard, Douglas W. Pulse. Wiley & Sons, Incorporated, John, 2011.
Encontre o texto completo da fonteHubbard, Douglas W. Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities. Wiley & Sons, Incorporated, John, 2011.
Encontre o texto completo da fonteHubbard, Douglas W. Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities. Wiley & Sons, Incorporated, John, 2011.
Encontre o texto completo da fonteHubbard, Douglas W. Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities. Wiley & Sons, Incorporated, John, 2011.
Encontre o texto completo da fonteSeth, STEPHENS-DAVIDOWITZ. Everybody Lies: The New York Times Bestseller. Bloomsbury Publishing, 2017.
Encontre o texto completo da fonteRitschard, Gilbert, e John J. McArdle. Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. Taylor & Francis Group, 2013.
Encontre o texto completo da fonteRitschard, Gilbert, e John J. McArdle. Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. Taylor & Francis Group, 2013.
Encontre o texto completo da fonteRitschard, Gilbert, e John J. McArdle. Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. Taylor & Francis Group, 2013.
Encontre o texto completo da fonteRitschard, Gilbert, e John J. McArdle. Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. Taylor & Francis Group, 2013.
Encontre o texto completo da fonteStephens-Davidowitz, Seth. Everybody Lies: What the Internet Can Tell Us about Who We Really Are. Bloomsbury Publishing Plc, 2018.
Encontre o texto completo da fonteStephens-Davidowitz, Seth. Everybody Lies: What the Internet Can Tell Us about Who We Really Are. Bloomsbury Publishing Plc, 2017.
Encontre o texto completo da fonteStephens-Davidowitz, Seth. Everybody Lies: What the Internet Can Tell Us about Who We Really Are. Bloomsbury Publishing Plc, 2017.
Encontre o texto completo da fonteThe Human Face Of Big Data. Sterling Publishing Co Inc, 2012.
Encontre o texto completo da fonteEverybody lies: Big data, new data, and what the Internet can tell us about who we really are. New York, NY: Dey St., an imprint of William Morrow, 2017.
Encontre o texto completo da fonteDeka, Ganesh Chandra, Robin Singh Bhadoria, Narendra S. Chaudhari e Geetam S. Tomar. Human Element of Big Data: Issues, Analytics, and Performance. Taylor & Francis Group, 2016.
Encontre o texto completo da fonteDeka, Ganesh Chandra, Robin Singh Bhadoria, Narendra S. Chaudhari e Geetam S. Tomar. Human Element of Big Data: Issues, Analytics, and Performance. Taylor & Francis Group, 2016.
Encontre o texto completo da fonteDeka, Ganesh Chandra, Robin Singh Bhadoria, Narendra S. Chaudhari e Geetam S. Tomar. Human Element of Big Data: Issues, Analytics, and Performance. Taylor & Francis Group, 2016.
Encontre o texto completo da fonteLohr, Steve. Data-Ism: Inside the Big Data Revolution. Oneworld Publications, 2015.
Encontre o texto completo da fonteEagle, Nathan, e Kate Greene. Reality Mining: Using Big Data to Engineer a Better World. MIT Press, 2014.
Encontre o texto completo da fonteEagle, Nathan, e Kate Greene. Reality Mining: Using Big Data to Engineer a Better World. MIT Press, 2014.
Encontre o texto completo da fonteEagle, Nathan. Reality mining: Using big data to engineer a better world. 2014.
Encontre o texto completo da fonteEagle, Nathan, e Kate Greene. Reality Mining: Using Big Data to Engineer a Better World. MIT Press, 2016.
Encontre o texto completo da fonteEagle, Nathan, e Kate Greene. Reality Mining: Using Big Data to Engineer a Better World. MIT Press, 2014.
Encontre o texto completo da fonteSmith, Robert Elliott. Rage Inside the Machine: The Prejudice of Algorithms, and How to Stop the Internet Making Bigots of Us All. Bloomsbury Publishing Plc, 2019.
Encontre o texto completo da fonte