Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I

Research output: Books and anthologiesConference proceedingsResearch

Authors

  • Ulf Brefeld (Editor)
  • Elisa Fromont (Editor)
  • Andreas Hotho (Editor)
  • Arno Knobbe (Editor)
  • Marloes Maathuis (Editor)
  • Céline Robardet (Editor)

The proceedings contain 42 papers. The special focus in this conference is on Machine Learning and Knowledge Discovery in Databases. The topics include: Advocating for Multiple Defense Strategies Against Adversarial Examples; hybrid Connection and Host Clustering for Community Detection in Spatial-Temporal Network Data; collaborative Learning Based Effective Malware Detection System; a Hybrid Recommendation System Based on Bidirectional Encoder Representations; leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs; a Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances; exploiting Temporal Convolution for Activity Prediction in Process Analytics; hyper-Parameter Optimization for Privacy-Preserving Record Linkage; group-Specific Training Data; reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications; scalable Blocking for Very Large Databases; address Validation in Transportation and Logistics: A Machine Learning Based Entity Matching Approach; linking Heterogeneous Data for Food Security Prediction; towards Better Evaluation of Multi-target Regression Models; assessing the Difficulty of Labelling an Instance in Crowdworking; experimental Evaluation of Scale, and Patterns of Systematic Inconsistencies in Google Trends Data; assessing the Uncertainty of the Text Generating Process Using Topic Models; a Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods; interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges; Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data; practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks; what Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations; interpretable Privacy with Optimizable Utility.

Original languageEnglish
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Volume1
Number of pages766
ISBN (print)978-3-030-46149-2
ISBN (electronic)978-3-030-46150-8
DOIs
Publication statusPublished - 2020
EventJoint European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2019 - Würzburg, Germany
Duration: 16.09.201920.09.2019
https://ecmlpkdd2019.org/

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume11906
ISSN (Print)0302-9743
ISSN (electronic)1611-3349
NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume11906
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Recently viewed

Publications

  1. Should learners use their hands for learning? Results from an eye-tracking study
  2. Is sensitivity for the complexity of mathematics teaching measurable?
  3. Introduction Mobile Digital Practices. Situating People, Things, and Data
  4. Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model
  5. Computational modeling of amorphous polymers
  6. Early Detection of Faillure in Conveyor Chain Systems by Wireless Sensor Node
  7. Formative Perspectives on the Relation Between CSR Communication and CSR Practices
  8. TARGET SETTING FOR OPERATIONAL PERFORMANCE IMPROVEMENTS - STUDY CASE -
  9. From Knowledge to Application
  10. Neural correlates of the enactment effect in the brain
  11. Machine Learning and Knowledge Discovery in Databases
  12. Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns
  13. Spaces for challenging experiences, indeterminacy, and experimentation
  14. Mapping Khulan habitats - a GIS based approach.
  15. Commitment to grand challenges in fluid forms of organizing
  16. Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor
  17. A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
  18. Determination of 10 particle-associated multiclass polar and semi-polar pesticides from small streams using accelerated solvent extraction
  19. Training effects of two different unstable shoe constructions on postural control in static and dynamic testing situations
  20. Intraspecific trait variation patterns along a precipitation gradient in Mongolian rangelands
  21. Artificial Intelligence in Foreign Language Learning and Teaching
  22. Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking
  23. A survey of empirical studies using transaction level data on exports and imports
  24. Governing Objects from a Distance
  25. An Outcome-Oriented, Social-Ecological Framework for Assessing Protected Area Effectiveness
  26. Aspect-oriented software development
  27. Web-Based Drills in Maths Using a Computer Algebra System
  28. Effectiveness of a Web-Based Cognitive Behavioural Intervention for Subthreshold Depression