Vol-3333⫷ Vol-3334 ⫸Vol-3335
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 |