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, 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, 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. 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, 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",
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

CY - Cham

Y2 - 10 September 2018 through 14 September 2018

ER -

Other publications by the same author(s)

Convolutional Neural Networks

Rudolph, Y. & Brefeld, U., 01.01.2023, Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten. Memmert, D. (ed.). Berlin: Springer Spektrum, p. 207-215 9 p.

Research output: Contributions to collected editions/works › Chapter

Data practices in apps from Brazil: What do privacy policies inform us about?

Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.

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

Exploring the Poincaré Ellipsis

Fadel, S., Paulsen, T. & Brefeld, U., 09.2023, 20th Machine Learning on Graphs workshop.

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

Hands in Focus: Sign Language Recognition Via Top-Down Attention

Sarhan, N., Wilms, C., Closius, V., Brefeld, U. & Frintrop, S., 08.10.2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings: Proceedings. Piscataway: IEEE Electromagnetic Compatibility Society, p. 2555-2559 5 p. (Proceedings - International Conference on Image Processing, ICIP).

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

Masked Autoencoder Pretraining for Event Classification in Elite Soccer

Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).

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

DOI