Literatura académica sobre el tema "Two party clustering"
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Artículos de revistas sobre el tema "Two party clustering"
Kumari, Priya y Seema Maitrey. "Two Party Hierarichal Clustering Over Horizontally Partitioned Data Set". International Journal of Data Mining & Knowledge Management Process 7, n.º 3 (30 de mayo de 2017): 33–43. http://dx.doi.org/10.5121/ijdkp.2017.7303.
Texto completoTripathy, Animesh y Ipsa De. "Privacy Preserving Two-Party Hierarchical Clustering Over Vertically Partitioned Dataset". Journal of Software Engineering and Applications 06, n.º 05 (2013): 26–31. http://dx.doi.org/10.4236/jsea.2013.65b006.
Texto completoBunn, Paul y Rafail Ostrovsky. "Oblivious Sampling with Applications to Two-Party k-Means Clustering". Journal of Cryptology 33, n.º 3 (12 de mayo de 2020): 1362–403. http://dx.doi.org/10.1007/s00145-020-09349-w.
Texto completoFeldman, Nizan y Tal Sadeh. "War and Third-party Trade". Journal of Conflict Resolution 62, n.º 1 (28 de abril de 2016): 119–42. http://dx.doi.org/10.1177/0022002716644329.
Texto completoJiang, Zoe L., Ning Guo, Yabin Jin, Jiazhuo Lv, Yulin Wu, Zechao Liu, Junbin Fang, S. M. Yiu y Xuan Wang. "Efficient two-party privacy-preserving collaborative k-means clustering protocol supporting both storage and computation outsourcing". Information Sciences 518 (mayo de 2020): 168–80. http://dx.doi.org/10.1016/j.ins.2019.12.051.
Texto completoLee, Hyun-Chool y Alexandre Repkine. "Do Political Parties Represent Voters’ Preference? A Clustering Analysis of Korea’s Local Election of 2018". Philippine Political Science Journal 44, n.º 2 (15 de agosto de 2023): 121–51. http://dx.doi.org/10.1163/2165025x-bja10045.
Texto completoPing, Yuan, Bin Hao, Xiali Hei, Jie Wu y Baocang Wang. "Maximized Privacy-Preserving Outsourcing on Support Vector Clustering". Electronics 9, n.º 1 (17 de enero de 2020): 178. http://dx.doi.org/10.3390/electronics9010178.
Texto completoA, Pranav Shriram, Nishat Koti, Varsha Bhat Kukkala, Arpita Patra y Bhavish Raj Gopal. "Find Thy Neighbourhood: Privacy-Preserving Local Clustering". Proceedings on Privacy Enhancing Technologies 2023, n.º 2 (abril de 2023): 23–39. http://dx.doi.org/10.56553/popets-2023-0039.
Texto completoOswald, Michael T., Meike Fromm y Elena Broda. "Strategic clustering in right-wing-populism? ‘Green policies’ in Germany and France". Zeitschrift für Vergleichende Politikwissenschaft 15, n.º 2 (junio de 2021): 185–205. http://dx.doi.org/10.1007/s12286-021-00485-6.
Texto completoAnglou, Fiorentia Zoi, Stavros Ponis y Athanasios Spanos. "A machine learning approach to enable bulk orders of critical spare-parts in the shipping industry". Journal of Industrial Engineering and Management 14, n.º 3 (19 de julio de 2021): 604. http://dx.doi.org/10.3926/jiem.3446.
Texto completoTesis sobre el tema "Two party clustering"
Chim, Sonali. "Towards Effcient Privacy-Preserving Two-Party k-Means Clustering Protocol". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5180.
Texto completoSousa, David Rodrigues Alves de. "The contributing factors of large wildfires : exploring the main structural factors driving large wildfire ignition and spread in central Portugal (2005-2015)". Master's thesis, 2019. http://hdl.handle.net/10362/59016.
Texto completoLarge wildfires have devastating human, environmental and economic consequences and are responsible for the majority of total burned area in Mediterranean Europe, even though they account for only a marginal portion of all fire occurrences. Most predictions suggest a global intensification of fire danger, and among all European Mediterranean countries Portugal displays the highest fire incidence. The purpose of this work is to examine the main factors driving large wildfire ignition and spread in central Portugal between 2005 and 2015, contributing with empiric knowledge on their importance and variability throughout the study area. This research was successful at listing a comprehensive set of elements contributing to fire occurrence and at gathering data on these phenomena. Spatial cluster analysis was used to find homogeneous regions within the study area concerning the main factors influencing both fire ignition and burned area. Probit and two-part regression techniques were used to model the contribution of the different elements driving large fire occurrence and propagation. The main findings of this analysis confirm the presence of spatial variability in the contribution exerted by most structural factors driving large wildfire ignition and spread in central Portugal. Additionally, while vegetation characteristics appear much more relevant for fire propagation, socioeconomic elements seem to be connected to fire incidence. All in all, this research provides relevant input with implementation in different fields, from large fire awareness and prevention to the development of wildfire policies, as well as appropriate contributions to methodological concerns in fire danger and fire risk analyses.
Os grandes incêndios rurais têm como consequência impactos socioeconómicos e ambientais devastadores e são responsáveis pela maior parte do total de área ardida na Europa mediterrânica, ainda que representem apenas uma fração pouco expressiva do total de ocorrências. A maioria dos estudos prevê uma intensificação do perigo de incêndio, sendo que, entre todos os países europeus da bacia mediterrânica, é Portugal quem apresenta a mais alta incidência deste fenómeno. O objetivo deste trabalho é estudar os fatores que mais contribuíram para a ignição e propagação de grandes incêndios rurais no centro de Portugal entre 2005 e 2015, concorrendo assim com conhecimento empírico relativamente à sua importância e variabilidade na área de estudo. Esta investigação conseguiu listar um conjunto abrangente de elementos que contribuem para a ocorrência de incêndios rurais, assim como reunir os dados necessários. Uma análise de clusters espacial foi aplicada para identificar regiões homogéneas dentro da área de estudo no que respeita aos principais fatores influenciando a ignição e o alastrar dos grandes incêndios. Modelos probit e em duas partes foram utilizados para analisar a contribuição dos diferentes elementos para a ocorrência e propagação dos fogos. Os resultados deste estudo confirmam a presença de variação espacial no impacto exercido pela maioria dos fatores estruturais que contribuem para a ocorrência e propagação dos grandes incêndios rurais. Por outro lado, enquanto as características da vegetação se revelam mais relevantes na perspetiva do alastrar dos incêndios, os fatores socioeconómicos parecem estar relacionados com a ignição destes fenómenos. Em suma, este estudo contribui com informação relevante, a implementar em diferentes âmbitos, desde a consciencialização das populações à prevenção e ao desenvolvimento de políticas na área dos fogos rurais. Este apresenta ainda contributos apropriados na área de metodologias de análise do perigo e risco de incêndio.
Libros sobre el tema "Two party clustering"
Grigor'ev, Anatoliy y Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.
Texto completoPenney, Kathryn L., Kyriaki Michailidou, Deanna Alexis Carere, Chenan Zhang, Brandon Pierce, Sara Lindström y Peter Kraft. Genetic Epidemiology of Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0005.
Texto completoWang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.
Texto completoBenestad, Rasmus. Climate in the Barents Region. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.655.
Texto completoCapítulos de libros sobre el tema "Two party clustering"
De, Ipsa y Animesh Tripathy. "A Secure Two Party Hierarchical Clustering Approach for Vertically Partitioned Data Set with Accuracy Measure". En Advances in Intelligent Systems and Computing, 153–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01778-5_16.
Texto completoJiang, Zoe L., Ning Guo, Yabin Jin, Jiazhuo Lv, Yulin Wu, Yating Yu, Xuan Wang, S. M. Yiu y Junbin Fang. "Efficient Two-Party Privacy Preserving Collaborative k-means Clustering Protocol Supporting both Storage and Computation Outsourcing". En Algorithms and Architectures for Parallel Processing, 447–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05063-4_34.
Texto completoDai, Qionghai y Yue Gao. "Typical Hypergraph Computation Tasks". En Artificial Intelligence: Foundations, Theory, and Algorithms, 73–99. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0185-2_5.
Texto completoFaouzi, Johann y Olivier Colliot. "Classic Machine Learning Methods". En Machine Learning for Brain Disorders, 25–75. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3195-9_2.
Texto completoCocco, Christelle y Raphaël Ceré. "Computer Vision and Mathematical Methods Used to Analyse Children’s Drawings of God(s)". En When Children Draw Gods, 213–44. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-94429-2_9.
Texto completoBrazdil, Pavel, Jan N. van Rijn, Carlos Soares y Joaquin Vanschoren. "Dataset Characteristics (Metafeatures)". En Metalearning, 53–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67024-5_4.
Texto completoWalrand, Jean. "Speech Recognition: A". En Probability in Electrical Engineering and Computer Science, 205–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_11.
Texto completoEeckhout, Bart, Rob Herreman y Alexander Dhoest. "A Gay Neighborhood or Merely a Temporary Cluster of “Strange” Bars? Gay Bar Culture in Antwerp". En The Life and Afterlife of Gay Neighborhoods, 221–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66073-4_10.
Texto completoAuyoung, Elaine. "Patterns Real and Imagined". En Politics on Display, 100–123. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190926311.003.0006.
Texto completoSarddar, Debabrata, Raktim Kumar Dey, Rajesh Bose y Sandip Roy. "Topic Modeling as a Tool to Gauge Political Sentiments from Twitter Feeds". En Research Anthology on Social Media's Influence on Government, Politics, and Social Movements, 636–58. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7472-3.ch031.
Texto completoActas de conferencias sobre el tema "Two party clustering"
Bunn, Paul y Rafail Ostrovsky. "Secure two-party k-means clustering". En the 14th ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1315245.1315306.
Texto completoHamidi, Mona, Mina Sheikhalishahi y Fabio Martinelli. "Secure Two-party Agglomerative Hierarchical Clustering Construction". En 4th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006659704320437.
Texto completoAkhter, Rahena, Rownak Jahan Chowdhury, Keita Emura, Tamzida Islam, Mohammad Shahriar Rahman y Nusrat Rubaiyat. "Privacy-Preserving Two-Party k-Means Clustering in Malicious Model". En 2013 IEEE 37th International Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2013. http://dx.doi.org/10.1109/compsacw.2013.53.
Texto completoSu, Chunhua, Feng Bao, Jianying Zhou, Tsuyoshi Takagi y Kouichi Sakurai. "Privacy-Preserving Two-Party K-Means Clustering via Secure Approximation". En 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07). IEEE, 2007. http://dx.doi.org/10.1109/ainaw.2007.295.
Texto completoLin, Zhenmin y Jerzy W. Jaromczyk. "Privacy preserving two-party k-means clustering over vertically partitioned dataset". En 2011 IEEE International Conference on Intelligence and Security Informatics (ISI 2011). IEEE, 2011. http://dx.doi.org/10.1109/isi.2011.5983998.
Texto completoVatsalan, Dinusha, Peter Christen y Vassilios S. Verykios. "Efficient two-party private blocking based on sorted nearest neighborhood clustering". En the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2505757.
Texto completoLiu, Xiaoyan, Zoe L. Jiang, S. M. Yiu, Xuan Wang, Chuting Tan, Ye Li, Zechao Liu, Yabin Jin y Junbin Fang. "Outsourcing Two-Party Privacy Preserving K-Means Clustering Protocol in Wireless Sensor Networks". En 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN). IEEE, 2015. http://dx.doi.org/10.1109/msn.2015.42.
Texto completoJacintho, Lucas Henrique Mantovani, Tiago Pinho Da Silva, Antonio Rafael Sabino Parmezan y Gustavo Enrique de Almeida Prado Alves Batista. "Brazilian Presidential Elections: Analysing Voting Patterns in Time and Space Using a Simple Data Science Pipeline". En Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11979.
Texto completoRojas Arciniegas, Alvaro J. y Harrison M. Kim. "Incorporating Security Considerations Into Optimal Product Architecture and Component Sharing Decision in Product Family Design". En ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28515.
Texto completoZhang, Xiaotong, Xianchao Zhang, Han Liu y Jiebo Luo. "Multi-Task Clustering with Model Relation Learning". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/435.
Texto completoInformes sobre el tema "Two party clustering"
Crowe, Jeff. PR-261-15609-R02 Machine Learning Algorithms for Smart Meter Diagnostics � Part III (TR2777). Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), junio de 2017. http://dx.doi.org/10.55274/r0011029.
Texto completoRusso, Margherita, Fabrizio Alboni, Jorge Carreto Sanginés, Manlio De Domenico, Giuseppe Mangioni, Simone Righi y Annamaria Simonazzi. The Changing Shape of the World Automobile Industry: A Multilayer Network Analysis of International Trade in Components and Parts. Institute for New Economic Thinking Working Paper Series, enero de 2022. http://dx.doi.org/10.36687/inetwp173.
Texto completoMORELLI, D. Long-distance transport of live animals: WOAH’s standards and best practices including societal perception and communication aspects. O.I.E (World Organisation for Animal Health), octubre de 2022. http://dx.doi.org/10.20506/tt.3334.
Texto completoOr, Etti, David Galbraith y Anne Fennell. Exploring mechanisms involved in grape bud dormancy: Large-scale analysis of expression reprogramming following controlled dormancy induction and dormancy release. United States Department of Agriculture, diciembre de 2002. http://dx.doi.org/10.32747/2002.7587232.bard.
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