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Relevant bibliographies by topics / Two party clustering

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Journal articles

Academic literature on the topic 'Two party clustering'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Two party clustering"

1

Kumari, Priya, and Seema Maitrey. "Two Party Hierarichal Clustering Over Horizontally Partitioned Data Set." International Journal of Data Mining & Knowledge Management Process 7, no. 3 (2017): 33–43. http://dx.doi.org/10.5121/ijdkp.2017.7303.

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2

Tripathy, Animesh, and Ipsa De. "Privacy Preserving Two-Party Hierarchical Clustering Over Vertically Partitioned Dataset." Journal of Software Engineering and Applications 06, no. 05 (2013): 26–31. http://dx.doi.org/10.4236/jsea.2013.65b006.

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3

Bunn, Paul, and Rafail Ostrovsky. "Oblivious Sampling with Applications to Two-Party k-Means Clustering." Journal of Cryptology 33, no. 3 (2020): 1362–403. http://dx.doi.org/10.1007/s00145-020-09349-w.

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Feldman, Nizan, and Tal Sadeh. "War and Third-party Trade." Journal of Conflict Resolution 62, no. 1 (2016): 119–42. http://dx.doi.org/10.1177/0022002716644329.

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Few studies explain how wars affect trade with third parties. We argue that wartime trade policies should raise trade with friendly and enemy-hostile third parties but reduce trade with hostile and enemy-friendly third parties. At the same time, the private motivation of firms and households may be incompatible with national wartime trade policies and constrain the effectiveness of wartime trade policies. Our directed dyadic data set consists of almost all of the states from 1885 to 2000. Running a high definition fixed effects regression with two-way clustering of standard errors, we find tha

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5

Jiang, Zoe L., Ning Guo, Yabin Jin, et al. "Efficient two-party privacy-preserving collaborative k-means clustering protocol supporting both storage and computation outsourcing." Information Sciences 518 (May 2020): 168–80. http://dx.doi.org/10.1016/j.ins.2019.12.051.

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6

Lee, Hyun-Chool, and Alexandre Repkine. "Do Political Parties Represent Voters’ Preference? A Clustering Analysis of Korea’s Local Election of 2018." Philippine Political Science Journal 44, no. 2 (2023): 121–51. http://dx.doi.org/10.1163/2165025x-bja10045.

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Abstract We employ the results of a survey conducted on two thousand voters that have participated in Korean local election of 2018 to perform clustering analysis of Korean voters’ preferences. We attempt to test the hypothesis of these preferences being adequately represented by the five major political parties. We find that there was likely a significant mismatch between Korean voters and the five voting camps identified under the assumption of five being an optimal number of the voting clusters. After relaxing this assumption we found that the optimal number of voting camps in Korea is two

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7

Ping, Yuan, Bin Hao, Xiali Hei, Jie Wu, and Baocang Wang. "Maximized Privacy-Preserving Outsourcing on Support Vector Clustering." Electronics 9, no. 1 (2020): 178. http://dx.doi.org/10.3390/electronics9010178.

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Despite its remarkable capability in handling arbitrary cluster shapes, support vector clustering (SVC) suffers from pricey storage of kernel matrix and costly computations. Outsourcing data or function on demand is intuitively expected, yet it raises a great violation of privacy. We propose maximized privacy-preserving outsourcing on SVC (MPPSVC), which, to the best of our knowledge, is the first all-phase outsourceable solution. For privacy-preserving, we exploit the properties of homomorphic encryption and secure two-party computation. To break through the operation limitation, we propose a

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8

A, Pranav Shriram, Nishat Koti, Varsha Bhat Kukkala, Arpita Patra, and Bhavish Raj Gopal. "Find Thy Neighbourhood: Privacy-Preserving Local Clustering." Proceedings on Privacy Enhancing Technologies 2023, no. 2 (2023): 23–39. http://dx.doi.org/10.56553/popets-2023-0039.

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Identifying a cluster around a seed node in a graph, termed local clustering, finds use in several applications, including fraud detection, targeted advertising, community detection, etc. However, performing local clustering is challenging when the graph is distributed among multiple data owners, which is further aggravated by the privacy concerns that arise in disclosing their view of the graph. This necessitates designing solutions for privacy-preserving local clustering and is addressed for the first time in the literature. We propose using the technique of secure multiparty computation (MP

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9

Oswald, Michael T., Meike Fromm, and Elena Broda. "Strategic clustering in right-wing-populism? ‘Green policies’ in Germany and France." Zeitschrift für Vergleichende Politikwissenschaft 15, no. 2 (2021): 185–205. http://dx.doi.org/10.1007/s12286-021-00485-6.

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AbstractPast research pointed to the idea that right-wing ideology and climate-change skepticism are inherently linked. Empirical reality proves differently however, since right-wing populist parties are starting to adapt pro environmentalist stances. In this paper, we look into two prominent cases of diametrical diverging environmental strategies by right-wing-populist-parties: France’s Rassemblement National and Germany’s Alternative für Deutschland. In order convey this point, we use comparative qualitative content analysis and examine several decisive determinants regarding environmental s

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10

Anglou, Fiorentia Zoi, Stavros Ponis, and 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, no. 3 (2021): 604. http://dx.doi.org/10.3926/jiem.3446.

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Purpose: The main purpose of this paper is to propose a methodological approach and a decision support tool, based on prescriptive analytics, to enable bulk ordering of spare parts for shipping companies operating fleets of vessels. The developed tool utilises machine learning and operations research algorithms, to forecast and optimize bulk spare parts orders needed to cover planned maintenance requirements on an annual basis and optimize the company’s purchasing decisions.Design/methodology/approach: The proposed approach consists of three discrete methodological steps, each one supported by

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