1. //
  2. Start
  3. //
  4. Publications
  5. Machine Learning and Knowledge Discovery...
  6. Output formats
  7. //

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III

Research output: Books and anthologies › Collected editions and anthologies › Research

Standard

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III. / Brefeld, Ulf (Editor); Curry , Edward (Editor); Daly, Elizabeth (Editor) et al.
Cham: Springer Verlag, 2019. 706 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11054 LNAI).

Research output: Books and anthologies › Collected editions and anthologies › Research

Harvard

Brefeld, U, Curry , E, Daly, E, MacNamee, B, Marascu, A, Pinelli , F, Berlingerio, M & Hurley, N (eds) 2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11054 LNAI, vol. 11053, Springer Verlag, Cham. https://doi.org/10.1007/978-3-030-10997-4

APA

Brefeld, U., Curry , E., Daly, E., MacNamee, B., Marascu, A., Pinelli , F., Berlingerio, M., & Hurley, N. (Eds.) (2019). Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11054 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-10997-4

Vancouver

Brefeld U, (ed.), Curry E, (ed.), Daly E, (ed.), MacNamee B, (ed.), Marascu A, (ed.), Pinelli F, (ed.) et al. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III. Cham: Springer Verlag, 2019. 706 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-10997-4

Bibtex

@book{fe3cdb998b9f471d92fa9f6326c0d6c9,
title = "Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III",
abstract = "The proceedings contain 12 papers. The special focus in this conference is on Mining Data for Financial Applications. The topics include: Privacy risk for individual basket patterns; exploring students eating habits through individual profiling and clustering analysis; calibrating the mean-reversion parameter in the hull-white model using neural networks; deep factor model: Explaining deep learning decisions for forecasting stock returns with layer-wise relevance propagation; a comparison of neural network methods for accurate sentiment analysis of stock market tweets; a progressive resampling algorithm for finding very sparse investment portfolios; ICIE 1.0: A novel tool for interactive contextual interaction explanations; testing for self-excitation in financial events: A bayesian approach; a web crawling environment to support financial strategies and trend correlation: – extended abstract –; a differential privacy workflow for inference of parameters in the rasch model.",
keywords = "Business informatics, artificial intelligence, bayesian networks, classification, data mining, Human-Computer Interaction (HCI), internet, learning algorithms, machine learning, natural language processing systems, neural networks, semantics, sensor, sensors, signal processing, social networks, ubiquitous computing, user interfaces, wireless networks, wireless telecommunication systems, World Wide Web",
editor = "Ulf Brefeld and Edward Curry and Elizabeth Daly and Brian MacNamee and Alice Marascu and Fabio Pinelli and Michele Berlingerio and Neil Hurley",
year = "2019",
doi = "10.1007/978-3-030-10997-4",
language = "English",
isbn = "978-3-030-10996-7",
volume = "11053",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
address = "Germany",
note = "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2018, ECML PKDD 2018 ; Conference date: 10-09-2018 Through 14-09-2018",
url = "http://www.ecmlpkdd2018.org/",

}

RIS

TY - BOOK

T1 - Machine Learning and Knowledge Discovery in Databases

T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2018

A2 - Brefeld, Ulf

A2 - Curry , Edward

A2 - Daly, Elizabeth

A2 - MacNamee, Brian

A2 - Marascu, Alice

A2 - Pinelli , Fabio

A2 - Berlingerio, Michele

A2 - Hurley, Neil

PY - 2019

Y1 - 2019

N2 - The proceedings contain 12 papers. The special focus in this conference is on Mining Data for Financial Applications. The topics include: Privacy risk for individual basket patterns; exploring students eating habits through individual profiling and clustering analysis; calibrating the mean-reversion parameter in the hull-white model using neural networks; deep factor model: Explaining deep learning decisions for forecasting stock returns with layer-wise relevance propagation; a comparison of neural network methods for accurate sentiment analysis of stock market tweets; a progressive resampling algorithm for finding very sparse investment portfolios; ICIE 1.0: A novel tool for interactive contextual interaction explanations; testing for self-excitation in financial events: A bayesian approach; a web crawling environment to support financial strategies and trend correlation: – extended abstract –; a differential privacy workflow for inference of parameters in the rasch model.

AB - The proceedings contain 12 papers. The special focus in this conference is on Mining Data for Financial Applications. The topics include: Privacy risk for individual basket patterns; exploring students eating habits through individual profiling and clustering analysis; calibrating the mean-reversion parameter in the hull-white model using neural networks; deep factor model: Explaining deep learning decisions for forecasting stock returns with layer-wise relevance propagation; a comparison of neural network methods for accurate sentiment analysis of stock market tweets; a progressive resampling algorithm for finding very sparse investment portfolios; ICIE 1.0: A novel tool for interactive contextual interaction explanations; testing for self-excitation in financial events: A bayesian approach; a web crawling environment to support financial strategies and trend correlation: – extended abstract –; a differential privacy workflow for inference of parameters in the rasch model.

KW - Business informatics

KW - artificial intelligence

KW - bayesian networks

KW - classification

KW - data mining

KW - Human-Computer Interaction (HCI)

KW - internet

KW - learning algorithms

KW - machine learning

KW - natural language processing systems

KW - neural networks

KW - semantics

KW - sensor

KW - sensors

KW - signal processing

KW - social networks

KW - ubiquitous computing

KW - user interfaces

KW - wireless networks

KW - wireless telecommunication systems

KW - World Wide Web

UR - http://www.scopus.com/inward/record.url?scp=85063427369&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-10997-4

DO - 10.1007/978-3-030-10997-4

M3 - Collected editions and anthologies

SN - 978-3-030-10996-7

VL - 11053

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

BT - Machine Learning and Knowledge Discovery in Databases

PB - Springer Verlag

CY - Cham

Y2 - 10 September 2018 through 14 September 2018

ER -

Other publications by the same author(s)

Interactive sequential generative models for team sports

Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

Research output: Journal contributions › Journal articles › Research › peer-review

Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items

Bengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 2025, (Accepted/In press) In: Psychometrika.

Research output: Journal contributions › Journal articles › Research › peer-review

Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers

Brefeld, U. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2025, Cham: Springer Verlag. 119 p. (Communications in Computer and Information Science; vol. 2460)

Research output: Books and anthologies › Conference proceedings › Research

Masked autoencoder for multiagent trajectories

Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

Research output: Journal contributions › Journal articles › Research › peer-review

Self-improvement for Computerized Adaptive Testing

Rudolph, Y., Neubauer, K. & Brefeld, U., 2026, Machine Learning and Knowledge Discovery in Databases - Research Track: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. Ribeiro, R. P., Jorge, A. M., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P. & Abreu, P. H. (eds.). Cham: Springer International Publishing, Vol. 2. p. 70-86 17 p. (Lecture Notes in Computer Science; vol. 16014 LNCS).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI

Recently viewed

Activities

  1. Efficacy of an app-based gratitude intervention in reducing repetitive negative thinking and fostering resilience: results of a randomized controlled trial
  2. GET.ON PAPP: Feasibility of a mobile application for panic with and without agoraphobia
  3. Knowledge Mobilization in Open Innovation Networks: What’s in It for Schools?
  4. Acceptance and Feasibility of a mobile application for panic with and without agoraphobia
  5. Conference of SIG4 'Higher Education' & SIG17 'Qualitative and Quantitative Approaches to Learning and Instruction'
  6. Judgement Practices in the Artistic Field
  7. It's how, not what we use that matters - Communications Modes in the Internet
  8. Institutionalizing transdisciplinary learning on different levels
  9. Workshop on Family Migration Processes in a Comparative Perspective - 2018
  10. How stereotypes affect grading and tutorial feedback: Shifting evaluations or shifting standards?
  11. Für ein besseres Verständnis der Bezugspunkte in der Verhandlungsforschung und -theorie
  12. Beyond Unity
  13. Users’ Handedness and Performance when Controlling Integrated Input Devices - Implications for Automotive HMI
  14. Explaining the learning progress in mathematics of retained students and low-achieving students
  15. Uncertainty and Subjectivity in Provenance Linked Open Data
  16. Using the Multiple Streams Framework and the Multi-Level Perspective to Explain Policy Transformation: The Case of the German Energiewende

Publications

  1. On the Appropriate Methodologies for Data Science Projects
  2. A Column Generation Approach for Bus Driver Rostering Problems
  3. Linear free vibrations with uncertain initial conditions
  4. Age effects on controlling tools with sensorimotor transformations
  5. Improved sensorimotor control is not connected with improved proprioception
  6. Neural network-based estimation and compensation of friction for enhanced deep drawing process control
  7. Machine Learning and Knowledge Discovery in Databases
  8. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  9. Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns
  10. Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations
  11. Appendix A: Design, implementation, and analysis of the iGOES project
  12. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects
  13. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  14. Spaces for challenging experiences, indeterminacy, and experimentation
  15. Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
  16. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  17. A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision
  18. Using qualitative and quantitative arguments in decision-making situations
  19. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  20. Advances in Dynamics, Optimization and Computation
  21. Using Language Learning Resources on YouTube
  22. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  23. A Theoretical Dynamical Noninteracting Model for General Manipulation Systems Using Axiomatic Geometric Structures
  24. Using augmented video to test in-car user experiences of context analog HUDs
  25. Measuring Learning Styles with Questionnaires Versus Direct Observation of Preferential Choice Behavior in Authentic Learning Situations
  26. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  27. Teachers’ use of data from digital learning platforms for instructional design
  28. Cognitive load and instructionally supported learning with provided and learner-generated visualizations
  29. Modeling Conditional Dependencies in Multiagent Trajectories
  30. Towards a Global Script?
  31. Quantum Computing and the Analog/Digital Distinction
  32. Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction