Abstract is missing.
- 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019)Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann. 1-3 [doi]
- Evaluation of Unsupervised Learning Results: Making the Seemingly Impossible PossibleRicardo J. G. B. Campello. 4 [doi]
- EvalNE: A Framework for Evaluating Network Embeddings on Link PredictionAlexandru Mara, Jefrey Lijffijt, Tijl De Bie. 5-13 [doi]
- Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World DatasetsMartin Aumüller 0001, Matteo Ceccarello. 14-23 [doi]
- Context-Driven Data Mining Through Bias Removal and Incompleteness MitigationFeras Batarseh, Ajay Kulkarni. 24-30 [doi]
- Instance Spaces for Objective Assessment of Algorithms and Benchmark Test SuitesKate Smith-Miles. 31 [doi]
- Instance Space Analysis for Unsupervised Outlier DetectionSevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles. 32-41 [doi]
- Lessons Learned from the FIMI WorkshopsBart Goethals. 42 [doi]
- Clustering Evaluation in High-Dimensional DataMilos Radovanovic. 43 [doi]
- Characterizing Transactional Databases for Frequent Itemset MiningChristian Lezcano, Marta Arias. 44-53 [doi]