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ORCIDEDML@SDM 2019: Calgary, AB, Canada
- Eirini Ntoutsi, Erich Schubert
, Arthur Zimek, Albrecht Zimmermann:
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. CEUR Workshop Proceedings 2436, CEUR-WS.org 2019 - Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann:
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). 1-3 - Ricardo J. G. B. Campello:
Evaluation of Unsupervised Learning Results: Making the Seemingly Impossible Possible. 4 - Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. 5-13 - Martin Aumüller, Matteo Ceccarello:
Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets. 14-23 - Feras Batarseh, Ajay Kulkarni:
Context-Driven Data Mining Through Bias Removal and Incompleteness Mitigation. 24-30 - Kate Smith-Miles:
Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. 31 - Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles:
Instance Space Analysis for Unsupervised Outlier Detection. 32-41 - Bart Goethals:
Lessons Learned from the FIMI Workshops. 42 - Milos Radovanovic:
Clustering Evaluation in High-Dimensional Data. 43 - Christian Lezcano, Marta Arias:
Characterizing Transactional Databases for Frequent Itemset Mining. 44-53
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