| Vol-3334 urn:nbn:de:0074-3334-0 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).

# KDID 2022
Knowledge Discovery in Inductive Databases 2022

### Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases
co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022)

### Grenoble, France, September 19-23, 2022.

Edited by

### Bart Goethals *
Céline Robardet **
Arno Siebes ***

* University of Antwerp, Middelheimlaan 1, 2020 Antwerpen, Belgium
** INSA Lyon, 20 av A. Einstein, 69621 Villeurbanne, France
*** Utrecht University, Heidelberglaan 8, 3584 CS Utrecht, The Netherlands

## Table of Contents

- Preface
  Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume.

- A Condensed Survey on Condensed Representations of Patterns 1-16
  Arnaud Soulet, François Rioult, Bruno Cremilleux
- Histogram-based Probabilistic Rule Lists for Numeric Targets (short paper) 17-22
  Lincen Yang, Tim Opdam, Matthijs van Leeuwen
- From Inductive Databases to DL8.5 (short paper) 23-30
  Siegfried Nijssen, Pierre Schaus
- Serenade: An Approach for Differentially Private Greedy Redescription Mining 31-46
  Maiju Karjalainen, Esther Galbrun, Pauli Miettinen
- From Inductive Databases to a Modeling Language for Pattern Mining, to a Next-Generation Library for Constraint Solving (extended abstract) 47-50
  Tias Guns

2022-12-27: submitted by Céline Robardet, metadata incl. bibliographic data published under Creative Commons CC0
2023-01-29: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|