| Vol-2436 urn:nbn:de:0074-2436-7 Copyright © 2019 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# EDML 2019
Evaluation and Experimental Design in Data Mining and Machine Learning

### Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning
co-located with SIAM International Conference on Data Mining (SDM 2019)

### Calgary, Alberta, Canada, May 4th, 2019.

Edited by

### Eirini Ntoutsi, Leibniz University Hannover & L3S Research Center, Germany
Erich Schubert, Technical University Dortmund, Germany
Arthur Zimek, University of Southern Denmark, Denmark
Albrecht Zimmermann, University Caen Normandy, France

## Table of Contents

- 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019)1-3
  Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
- Evaluation of Unsupervised Learning Results: Making the Seemingly Impossible Possible 4-4
  Ricardo J. G. B. Campello
- EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction 5-13
  Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
- Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets 14-23
  Martin Aumüller, Matteo Ceccarello
- Context-Driven Data Mining Through Bias Removal and Incompleteness Mitigation 24-30
  Feras Batarseh, Ajay Kulkarni
- Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites 31-31
  Kate Smith-Miles
- Instance Space Analysis for Unsupervised Outlier Detection 32-41
  Sevvandi Kandanaarachchi, Mario Munoz, Kate Smith-Miles
- Lessons Learned from the FIMI Workshops 42-42
  Bart Goethals
- Clustering Evaluation in High-Dimensional Data 43-43
  Milos Radovanovic
- Characterizing Transactional Databases for Frequent Itemset Mining 44-53
  Christian Lezcano, Marta Arias

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2019-07-28: submitted by Erich Schubert, metadata incl. bibliographic data published under Creative Commons CC0
2019-09-08: published on CEUR-WS.org |valid HTML5|