LEADER 06149nam 22007455 450 001 996466439403316 005 20200806012410.0 010 $a3-030-29726-8 024 7 $a10.1007/978-3-030-29726-8 035 $a(CKB)4100000009076263 035 $a(DE-He213)978-3-030-29726-8 035 $a(MiAaPQ)EBC5919719 035 $a(PPN)254819885 035 $a(EXLCZ)994100000009076263 100 $a20190822d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Knowledge Extraction$b[electronic resource] $eThird IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26?29, 2019, Proceedings /$fedited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIII, 416 p. 138 illus., 98 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11713 311 $a3-030-29725-X 327 $aKANDINSKY Patterns as IQ-Test for machine learning -- Machine Learning Explainability Through Comprehensible Decision Trees -- New Frontiers in Explainable AI: Understanding the GI to Interpret the GO -- Automated Machine Learning for Studying the Trade-off Between Predictive Accuracy and Interpretability -- Estimating the Driver Status Using Long Short Term Memory -- Using Relational Concept Networks for Explainable Decision Support -- Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation -- Semi-automated Quality Assurance for Domain-expert-driven Data Exploration - An Application to Principal Component Analysis -- Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification -- How to improve the adaptation phase of the CBR in the medical domain -- Machine Learning for Family Doctors: A Case of Cluster Analysis for studying Aging Associated Comorbidities and Frailty -- Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement -- An Evaluation on Robustness and Utility of Fingerprinting Schemes -- Differentially Private Obfuscation of Facial Images -- Insights into Learning Competence through Probabilistic Graphical Models -- Sparse Nerves in Practice -- Backdoor Attacks in Neural Networks - a Systematic Evaluation on Multiple Traffic Sign Datasets -- Deep Learning for Proteomics Data for Feature Selection and Classification -- Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically -- Temporal diagnosis of discrete-event systems with dual knowledge Compilation -- A Case for Guided Machine Learning -- Using Ontologies to Express Prior Knowledge for Genetic Programming -- Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language -- Commonsense Reasoning using Theorem Proving and Machine Learning -- Deep structured semantic model for recommendations with heterogeneous side information in e-commerce. 330 $aThis book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11713 606 $aArtificial intelligence 606 $aDatabase management 606 $aData mining 606 $aUser interfaces (Computer systems) 606 $aArithmetic and logic units, Computer 606 $aComputer security 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aArithmetic and Logic Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I12026 606 $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aData mining. 615 0$aUser interfaces (Computer systems). 615 0$aArithmetic and logic units, Computer. 615 0$aComputer security. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aArithmetic and Logic Structures. 615 24$aSystems and Data Security. 676 $a004 702 $aHolzinger$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKieseberg$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTjoa$b A Min$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWeippl$b Edgar$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466439403316 996 $aMachine Learning and Knowledge Extraction$91896731 997 $aUNISA