Merger Control and Theories of Harm on Data Privacy as a Non-Price Parameter

Autor: Esayas, Samson Y., author

Publikováno v: Data Privacy and Competition Law in the Age of Big Data : Unpacking the Interface Through Complexity Science, 2024.

Externí odkaz: https://doi.org/10.1093/oso/9780198891420.003.0006

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Interplay of Data in Digital Economy and Merger Control Regime: A Conundrum without Solutions

Autor: Singh, Kritika, Mishra, Sarthak

Publikováno v: Law, State and Telecommunications Review; Vol. 14 No. 2 (2022): Law, State and Telecommunications Review / Revista de Direito, Estado e Telecomunicações; 17-37
Law, State and Telecommunications Review; Vol. 14 Núm. 2 (2022): Law, State and Telecommunications Review / Revista de Direito, Estado e Telecomunicações; 17-37
Revista de Direito, Estado e Telecomunicações; v. 14 n. 2 (2022): Law, State and Telecommunications Review / Revista de Direito, Estado e Telecomunicações; 17-37

[Purpose] The paper is an attempt by the authors to evaluate the feasibility of applicability of existing competition law framework to the growing platform economies and the resultant implications of personal data being collected by such entities. [M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=portalunbbra::701635485f63ca6c93d32fb8479cf555
https://periodicos.unb.br/index.php/RDET/article/view/41171

Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations

Autor: Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai

Publikováno v: International Journal of Computational Intelligence Systems, Vol 4, Iss 1 (2011)

Based on multi-dominance discernibility matrices, a non-incremental algorithm RIDDM and an incremental algorithm INRIDDM are proposed by means of Dominance-based Rough Set Approach. For the incremental algorithm, when a new object arrives, after upda

Externí odkaz: https://doaj.org/article/a8faa8063e9a4d0e8fa49fbb37ece35c

Using contrails and animated sequences to visualize uncertainty in dynamic sensory profiles obtained from temporal check-all-that-apply (TCATA) data

Autor: Allison K. Baker, John C. Castura, Carolyn F. Ross

Publikováno v: Food Quality and Preference. 54:90-100

Approaches for analyzing temporal check-all-that-apply (TCATA) data are further developed and illustrated using data arising from a Syrah wine finish evaluation. Raw and smoothed trajectories are obtained using principal component analysis. Virtual p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7598dc94f5ed36fd8d0b1fbf983fcc2
https://doi.org/10.1016/j.foodqual.2016.06.011