DOLAP C

13 papers

YearTitle / Authors
2022A Comparative Study of Additive Local Explanation Methods based on Feature Influences.
Emmanuel Doumard, Julien Aligon, Elodie Escriva, Jean-Baptiste Excoffier, Paul Monsarrat, Chantal Soulé-Dupuy
2022A Comprehensive Study of Late Materialization Strategies for a Disk-Based Column-Store.
George A. Chernishev, Viacheslav Galaktionov, Valentin V. Grigorev, Evgeniy Klyuchikov, Kirill Smirnov
2022A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms.
Ana Lavalle, Alejandro Mate, Juan Trujillo, Jorge García
2022A Performance Study of One-dimensional Learned Cardinality Estimation.
Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
2022A UML Profile for Variety Awareness in Multidimensional Design.
Sandro Bimonte, Houssam Bazza, Jean Laneurit, Stefano Rizzi, Hassan Badir
2022Answering Graph Pattern Queries using Compact Materialized Views.
Michael Lan, Xiaoying Wu, Dimitri Theodoratos
2022Efficient Specialized Spreadsheet Parsing for Data Science.
Felix Henze, Haralampos Gavriilidis, Eleni Tzirita Zacharatou, Volker Markl
2022Generating Personalized Data Narrations from EDA Notebooks.
Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Willeme Verdeaux, Lucile Jacquemart
2022Impact of Filter Feature Selection on Classification: An Empirical Study.
Uchechukwu Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2022Measuring Discord Among Multidimensional Data Sources.
Alberto Abelló, James Cheney
2022On Multi-Valued Indexing in AsterixDB.
Glenn Galvizo, Michael J. Carey
2022Proceedings of the 24th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 25th International Conference on Extending Database Technology and the 25th International Conference on Database Theory (EDBT/ICDT 2022), Edinburgh, UK, March 29, 2022.
Kostas Stefanidis, Lukasz Golab
2022Supporting Insertion in an Encrypted Multi-Maps with Volume Hiding using Trusted Execution Environment.
Shunta Ishihara, Chiemi Watanabe, Toshiyuki Amagasa