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ORCIDSantiago Andrés Azcoitia
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2020 – today
- 2023
[c5]Santiago Andrés Azcoitia
, Costas Iordanou, Nikolaos Laoutaris:
Understanding the Price of Data in Commercial Data Marketplaces. ICDE 2023: 3718-3728- 2022
- [j2]Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia, Stefano Traverso, Álvaro García-Recuero, Nikolaos Laoutaris, Amir Mehrjoo, Santiago Andrés Azcoitia, Rubén Cuevas Rumín, Kleomenis Katevas, Panagiotis Papadopoulos, Nicolas Kourtellis, Roberto Gonzalez, Xavi Olivares, George-Marios Kalatzantonakis-Jullien:
A PIMS Development Kit for New Personal Data Platforms. IEEE Internet Comput. 26(3): 79-84 (2022) - [j1]Santiago Andrés Azcoitia, Nikolaos Laoutaris:
A Survey of Data Marketplaces and Their Business Models. SIGMOD Rec. 51(3): 18-29 (2022) - [c4]Santiago Andrés Azcoitia, Costas Iordanou, Nikolaos Laoutaris:
Measuring the price of data in commercial data marketplaces. DE@CoNEXT 2022: 1-7 - [c3]Santiago Andrés Azcoitia, Nikolaos Laoutaris:
Try before you buy: a practical data purchasing algorithm for real-world data marketplaces. DE@CoNEXT 2022: 27-33 - [c2]Santiago Andrés Azcoitia, Marius Paraschiv, Nikolaos Laoutaris:
Computing the relative value of spatio-temporal data in data marketplaces. SIGSPATIAL/GIS 2022: 23:1-23:11 - [i4]Santiago Andrés Azcoitia, Nikolaos Laoutaris:
A Survey of Data Marketplaces and Their Business Models. CoRR abs/2201.04561 (2022) - 2021
- [i3]Santiago Andrés Azcoitia, Costas Iordanou, Nikolaos Laoutaris:
What Is the Price of Data? A Measurement Study of Commercial Data Marketplaces. CoRR abs/2111.04427 (2021) - 2020
- [i2]Santiago Andrés Azcoitia, Marius Paraschiv, Nikolaos Laoutaris:
Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces. CoRR abs/2002.11193 (2020) - [i1]Santiago Andrés Azcoitia, Nikolaos Laoutaris:
Try Before You Buy: A practical data purchasing algorithm for real-world data marketplaces. CoRR abs/2012.08874 (2020)
2010 – 2019
- 2010
- [c1]Santiago Andrés Azcoitia, María Ángeles Martínez Fernández, Luis Manuel Guijarro Verdura:
Using bottom-up LRIC models to calculate radio spectrum value for mobile operators. CTTE 2010: 1-7
Coauthor Index
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