| Vol-3130 urn:nbn:de:0074-3130-9 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DOLAP 2022
Design, Optimization, Languages and Analytical Processing of Big Data

### Proceedings 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.

Edited by

### Kostas Stefanidis *
Lukasz Golab **

* Tampere University, Finland
** University of Waterloo

## Table of Contents

- A UML Profile for Variety Awareness in Multidimensional Design 1-10
  Sandro Bimonte, Houssam Bazza, Jean Laneurit, Stefano Rizzi, Hassan Badir
- On Multi-Valued Indexing in AsterixDB 11-20
  Glenn Galvizo, Michael Carey
- A Comprehensive Study of Late Materialization Strategies for a Disk-Based Column-Store 21-30
  George Chernishev, Viacheslav Galaktionov, Valentin Grigorev, Evgeniy Klyuchikov, Kirill Smirnov
- A Comparative Study of Additive Local Explanation Methods based on Feature Influences 31-40
  Emmanuel Doumard, Julien Aligon, Elodie Escriva, Jean-Baptiste Excoffier, Paul Monsarrat, Chantal Soule-Dupuy
- Efficient Specialized Spreadsheet Parsing for Data Science 41-50
  Felix Henze, Haralampos Gavriilidis, Eleni Tzirita Zacharatou, Volker Markl
- Answering Graph Pattern Queries using Compact Materialized Views 51-60
  Michael Lan, Xiaoying Wu, Dimitri Theodoratos
- Supporting Insertion in an Encrypted Multi-Maps with Volume Hiding using Trusted Execution Environment 61-70
  Shunta Ishihara, Chiemi Watanabe, Toshiyuki Amagasa
- Impact of Filter Feature Selection on Classification: An Empirical Study 71-80
  Uchechukwu Njoku, Alberto Abello, Besim Bilalli, Gianluca Bontempi
- A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms 81-85
  Ana Lavalle, Alejandro Mate, Juan Trujillo, Jorge Garcia
- A Performance Study of One-dimensional Learned Cardinality Estimation 86-90
  Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
- Generating Personalized Data Narrations from EDA Notebooks 91-95
  Alexandre Chanson, Faten El Outa, Nicolas Labroche, Patrick Marcel, Veronika Peralta, Willeme Verdeaux, Lucile Jacquemart
- Measuring Discord Among Multidimensional Data Sources 96-100
  Alberto Abello, James Cheney

2022-03-21: submitted by Kostas Stefanidis, metadata incl. bibliographic data published under Creative Commons CC0
2022-04-25: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|