Titlebook: Machine Learning and Knowledge Extraction; Third IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2019

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,Semi-automated Quality Assurance for Domain-Expert-Driven Data Exploration – An Application to Prinnalysis (GIGO-principle). In the course of the integration of principal component analysis into an ontology-guided research infrastructure, we include a guidance system supporting the user through the separate analysis steps and we introduce a quality measure, which is essential for profound research results.

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MILL

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Machine Learning Explainability Through Comprehensible Decision Trees,ate model. Specifically, we propose an approach based on microaggregation to achieve a trade-off between . and . of the surrogate model on the one side and . of the subjects used for training the black-box model on the other side.

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0302-9743 Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019..The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectiv

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0302-9743 es and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity..978-3-030-29725-1978-3-030-29726-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-030-29726-8artificial intelligence; computer vision; data mining; data privacy; data security; databases; decision su

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