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Статті в журналах з теми "Voting data"
Valsamidis, Stavros, Sotirios Kontogiannis, Theodosios G. Theodosiou, and Ioannis Petasakis. "A Web e-voting system with a data analysis component." Journal of Systems and Information Technology 20, no. 1 (March 12, 2018): 33–53. http://dx.doi.org/10.1108/jsit-01-2017-0002.
Повний текст джерелаLin, Huaizhong, and Chun Chen. "Optimistic voting for managing replicated data." Journal of Computer Science and Technology 17, no. 6 (November 2002): 874–81. http://dx.doi.org/10.1007/bf02960779.
Повний текст джерелаZHU, SHANFENG, QIZHI FANG, and WEIMIN ZHENG. "SOCIAL CHOICE FOR DATA FUSION." International Journal of Information Technology & Decision Making 03, no. 04 (December 2004): 619–31. http://dx.doi.org/10.1142/s0219622004001288.
Повний текст джерелаChakrabarti, Shakya, and Neelanjan Acharya. "PROPOSITION OF A SECURE SYSTEM OF VOTING USING UIDAI DATA VIA IOT." International Journal of Students' Research in Technology & Management 6, no. 1 (June 19, 2018): 40–44. http://dx.doi.org/10.18510/ijsrtm.2018.616.
Повний текст джерелаRifa Hanifatunnisa and Muhammad Ismail. "Desain dan Implementasi Sistem Pencatatan Pemungutan Suara dengan Teknologi Blockchain pada Jaringan Peer-to-Peer." Jurnal Nasional Teknik Elektro dan Teknologi Informasi 9, no. 4 (December 10, 2020): 354–64. http://dx.doi.org/10.22146/jnteti.v9i4.648.
Повний текст джерелаCassel, Carol A. "Hispanic Turnout: Estimates from Validated Voting Data." Political Research Quarterly 55, no. 2 (June 2002): 391. http://dx.doi.org/10.2307/3088058.
Повний текст джерелаTsai, Rung-Ching. "Structural equation modeling of approval voting data." Behavior Research Methods 42, no. 3 (August 2010): 798–808. http://dx.doi.org/10.3758/brm.42.3.798.
Повний текст джерелаKrilavičius, Tomas, and Antanas Žilinskas. "On Structural Analysis of Parliamentarian Voting Data." Informatica 19, no. 3 (January 1, 2008): 377–90. http://dx.doi.org/10.15388/informatica.2008.219.
Повний текст джерелаBrown, Philip J., and Clive D. Payne. "Aggregate Data, Ecological Regression, and Voting Transitions." Journal of the American Statistical Association 81, no. 394 (June 1986): 452–60. http://dx.doi.org/10.1080/01621459.1986.10478290.
Повний текст джерелаCassel, Carol A. "Hispanic Turnout: Estimates from Validated Voting Data." Political Research Quarterly 55, no. 2 (June 2002): 391–408. http://dx.doi.org/10.1177/106591290205500206.
Повний текст джерелаДисертації з теми "Voting data"
陳志昌 and Chee-cheong Chan. "Compositional data analysis of voting patterns." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31977236.
Повний текст джерелаChan, Chee-cheong. "Compositional data analysis of voting patterns." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787160.
Повний текст джерелаDimitriadou, Evgenia, Andreas Weingessel, and Kurt Hornik. "Fuzzy voting in clustering." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/742/1/document.pdf.
Повний текст джерелаSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Riemann, Robert. "Towards Trustworthy Online Voting : Distributed Aggregation of Confidential Data." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN099/document.
Повний текст джерелаAggregation of values that need to be kept confidential while guaranteeing the robustness of the process and the correctness of the result is necessary for an increasing number of applications. Various kinds of surveys, such as medical ones, opinion polls, referendums, elections, as well as new services of the Internet of Things, such as home automation, require the aggregation of confidential data. In general, the confidentiality is ensured on the basis of trusted third parties or promises of cryptography, whose capacities cannot be assessed without expert knowledge.The ambition of this thesis is to reduce the need for trust in both authorities and technology and explore methods for large-scale data aggregations, that ensure a high degree of confidentiality and rely neither on trusted third parties nor solely on cryptography. Inspired by BitTorrent and Bitcoin, P2P protocols are considered.The first contribution of this thesis is the extension of the distributed aggregation protocol BitBallot with the objective to cover aggregations in P2P networks comprising adversarial peers with fail-stop or Byzantine behaviour. The introduced changes allow eventually to maintain an accurate result in presence of an adversarial minority.The encountered scalability limitations lead to the second contribution with the objective to support large-scale aggregations. Inspired by both BitBallot and BitTorrent, a novel distributed protocol called ADVOKAT is proposed.In both protocols, peers are assigned to leaf nodes of a tree overlay network which determines the computation of intermediate aggregates and restricts the exchange of data. The partition of data and computation among a network of equipotent peers limits the potential for data breaches and reduces the need for trust in authorities. The protocols provide a middleware layer whose flexibility is demonstrated by voting and lottery applications
Uminsky, David. "Generalized Spectral Analysis for Large Sets of Approval Voting Data." Scholarship @ Claremont, 2003. https://scholarship.claremont.edu/hmc_theses/157.
Повний текст джерелаNielsen, Niels Bech. "Using electronic voting systems data outside lectures to support learning." Connect to e-thesis. Move to record for print version, 2007. http://theses.gla.ac.uk/46/.
Повний текст джерелаMSc. (R) thesis submitted to the Department of Computing Science, Faculty of Information and Mathematical Sciences, University of Glasgow, 2007. Includes bibliographical references.
John, Shirley Diane. "The analysis of House of Commons' division list data." Thesis, University of Bath, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235796.
Повний текст джерелаDeng, Lin. "Mining user preference using SPY voting for search engine personalization /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20DENG.
Повний текст джерелаThomas, Michael Kyle. "Implementation of the Security-Dependability Adaptive Voting Scheme." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32542.
Повний текст джерелаMaster of Science
Barrows, Sam George. "Political Responses to Educational Performance Data." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13065019.
Повний текст джерелаGovernment
Книги з теми "Voting data"
Füle, Erika. Ecological inference on voting data. Lund: Dept. of Statistics, University of Lund, 1994.
Знайти повний текст джерелаGow, David John. Electoral behaviour: Introduction to theories, methods, and data. Canberra: Australian Consortium for Political and Social Research, 1992.
Знайти повний текст джерелаValgopgørelsesudvalget, Denmark Indenrigsministeriet. Valg og edb: Betænkning. [Copenhagen]: Indenrigsministeriet, 1993.
Знайти повний текст джерелаSaltman, Roy G. Accuracy, integrity, and security in computerized vote-tallying. Gaithersburg, MD: U.S. Dept of Commerce, National Bureau of Standards, 1988.
Знайти повний текст джерелаSaltman, Roy G. Accuracy, integrity, and security in computerized vote-tallying. Washington, D.C: National Bureau of Standards, 1988.
Знайти повний текст джерелаLuxembourg), VOTE-ID 2009 (2009 University of. E-voting and identity: Second international conference, VOTE-ID 2009, Luxembourg, September 7-8, 2009 proceedings. Berlin: Springer, 2009.
Знайти повний текст джерела1957-, Ryan Peter, and Schoenmakers Berry, eds. E-voting and identity: Second international conference, VOTE-ID 2009, Luxembourg, September 7-8, 2009 proceedings. Berlin: Springer, 2009.
Знайти повний текст джерелаLuxembourg), VOTE-ID 2009 (2009 University of. E-voting and identity: Second international conference, VOTE-ID 2009, Luxembourg, September 7-8, 2009 proceedings. Berlin: Springer, 2009.
Знайти повний текст джерелаGreat Britain. Working Group on Automated Vote Counting. Report of the Working Group on Automated Vote Counting. [London]: Home Office, 1994.
Знайти повний текст джерелаNew York State Temporary Commission on Voting Machine Equipment and Voter Registration Systems. The report. [New York, N.Y: The Commission, 1986.
Знайти повний текст джерелаЧастини книг з теми "Voting data"
Zhang, Bingsheng, and Hong-Sheng Zhou. "Statement Voting." In Financial Cryptography and Data Security, 667–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32101-7_38.
Повний текст джерелаRodríguez-Pérez, Adrià. "My Vote, My (Personal) Data: Remote Electronic Voting and the General Data Protection Regulation." In Electronic Voting, 167–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60347-2_11.
Повний текст джерелаPassarelli, Gianluca. "Hypotheses, Data, and Methodology." In Preferential Voting Systems, 59–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25286-1_2.
Повний текст джерелаZhu, Shanfeng, Qizhi Fang, Xiaotie Deng, and Weiming Zheng. "Metasearch via Voting." In Intelligent Data Engineering and Automated Learning, 734–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_98.
Повний текст джерелаDas, Suman Kumar, Soumyabrata Saha, and Suparna DasGupta. "Decentralized Voting: A Blockchain-Based Voting System." In Studies in Autonomic, Data-driven and Industrial Computing, 33–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7305-4_3.
Повний текст джерелаEhin, Piret, and Mihkel Solvak. "Party Cues and Trust in Remote Internet Voting: Data from Estonia 2005–2019." In Electronic Voting, 75–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86942-7_6.
Повний текст джерелаBoyd, Colin, Thomas Haines, and Peter B. Rønne. "Vote Selling Resistant Voting." In Financial Cryptography and Data Security, 345–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54455-3_25.
Повний текст джерелаAkula, Abhilash, Jeshwanth Ega, Kalyan Thota, and Gowtham. "Biometric Voting System." In Lecture Notes on Data Engineering and Communications Technologies, 231–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24643-3_28.
Повний текст джерелаVolkamer, Melanie. "Electronic Voting in Germany." In Data Protection in a Profiled World, 177–89. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8865-9_10.
Повний текст джерелаElkind, Edith, and Helger Lipmaa. "Small Coalitions Cannot Manipulate Voting." In Financial Cryptography and Data Security, 285–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11507840_25.
Повний текст джерелаТези доповідей конференцій з теми "Voting data"
Djanali, Supeno, Baskoro Adi Pratomo, Karsono Puguh Nindyo Cipto, Astandro Koesriputranto, and Hudan Studiawan. "Design and development of voting data security for electronic voting (E-Voting)." In 2016 4th International Conference on Information and Communication Technology (ICoICT). IEEE, 2016. http://dx.doi.org/10.1109/icoict.2016.7571928.
Повний текст джерелаBehar, Rachel, and Sara Cohen. "Representative Query Results by Voting." In SIGMOD/PODS '22: International Conference on Management of Data. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3514221.3517858.
Повний текст джерелаZhu, Yan, Melody Moh, and Teng-Sheng Moh. "Multi-layer text classification with voting for consumer reviews." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840821.
Повний текст джерелаTan, Xinlan, Zaid Shaikh, Alice Mello, and Fiona Creed. "The UN General Assembly Voting Coincidence and Clustering Analysis." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671587.
Повний текст джерелаGuo, Lei, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, and Lizhen Cui. "Group Recommendation with Latent Voting Mechanism." In 2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020. http://dx.doi.org/10.1109/icde48307.2020.00018.
Повний текст джерелаHyvonen, Ville, Teemu Pitkanen, Sotiris Tasoulis, Elias Jaasaari, Risto Tuomainen, Liang Wang, Jukka Corander, and Teemu Roos. "Fast nearest neighbor search through sparse random projections and voting." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840682.
Повний текст джерелаYuan, Jing, Yu Zheng, Chengyang Zhang, Xing Xie, and Guang-Zhong Sun. "An Interactive-Voting Based Map Matching Algorithm." In 2010 Eleventh International Conference on Mobile Data Management. IEEE, 2010. http://dx.doi.org/10.1109/mdm.2010.14.
Повний текст джерелаRodrig, Maya, and Anthony LaMarca. "Decentralized weighted voting for P2P data management." In the 3rd ACM international workshop. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/940923.940939.
Повний текст джерелаChen, Yu, Jian Cao, and Pinglei Guo. "CPU Load Prediction Based on a Multidimensional Spatial Voting Model." In 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS). IEEE, 2015. http://dx.doi.org/10.1109/dsdis.2015.100.
Повний текст джерелаHsieh, Yu-Tung, Chuan-Yu Lee, Ching-Chi Lin, Pangfeng Liu, and Jan-Jan Wu. "A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005528.
Повний текст джерелаЗвіти організацій з теми "Voting data"
Chen, M. Keith, Kareem Haggag, Devin Pope, and Ryne Rohla. Racial Disparities in Voting Wait Times: Evidence from Smartphone Data. Cambridge, MA: National Bureau of Economic Research, November 2019. http://dx.doi.org/10.3386/w26487.
Повний текст джерелаFacchini, Giovanni, Brian Knight, and Cecilia Testa. The Franchise, Policing, and Race: Evidence from Arrests Data and the Voting Rights Act. Cambridge, MA: National Bureau of Economic Research, July 2020. http://dx.doi.org/10.3386/w27463.
Повний текст джерелаScartascini, Carlos, and Razvan Vlaicu. Research Insights: Are Young Latin American Voters Politically Engaged? Inter-American Development Bank, August 2021. http://dx.doi.org/10.18235/0003571.
Повний текст джерелаKeefer, Philip, and Razvan Vlaicu. Voting Age, Information Experiments, and Political Engagement: Evidence from a General Election. Inter-American Development Bank, January 2023. http://dx.doi.org/10.18235/0004648.
Повний текст джерелаLalisse, Matthias. Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach. Institute for New Economic Thinking Working Paper Series, February 2022. http://dx.doi.org/10.36687/inetwp178.
Повний текст джерелаLucas, Brian. Lessons Learned about Political Inclusion of Refugees. Institute of Development Studies, May 2022. http://dx.doi.org/10.19088/k4d.2022.114.
Повний текст джерелаEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Повний текст джерела