SEDAMI 2021
International Workshop on Semantic Data Mining

Table of Contents

• Semantic Data Mining: A Brief Outline 1-5
  Martin Atzmueller, Grzegorz J. Nalepa, Szymon Bobek, Nada Lavrac
  
  Summary: This volume contains 6 papers. There were 7 papers submitted for peer-review to this workshop.
  Out of these, 5 papers were accepted for this volume, i.e., 5 as regular papers.
  In addition, there is one introductory paper to the workshop topic -- as an extended preface --
  with a brief outline on semantic data mining.

Foundations

• Meta-Interpretive Learning meets Neural Networks 6-15
  Victor Guimaraes, Vitor Costa,
• Towards Explainable Relational Boosting via Propositionalization 16-27
  Blaz Skrlj, Nada Lavrac
• Declarative Knowledge Discovery in Databases via Meta-Learning - Towards Advanced Analytics 28-39
  Dietmar Seipel, Martin Atzmueller

Modeling & Application

• Interpretable Knowledge Mining for Heart Failure Prognosis Risk Evaluation 40-52
  Shaobo Wang, Guangliang Liu, Wenyan Zhu, Zengtao Jiao, Haichen Lv, Jun Yan, Yunlong Xia
• Knowledge-Augmented Induction of Complex Networks on Supply-Demand-Material Data 53-64
  Dan Hudson, Leonid Schwenke, Stefan Bloemheuvel, Arnab Ghosh Chowdhury, Nils Schut, Martin Atzmueller