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

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Authors

  • Ulf Brefeld (Editor)
  • Edward Curry (Editor)
  • Elizabeth Daly (Editor)
  • Brian MacNamee (Editor)
  • Alice Marascu (Editor)
  • Fabio Pinelli (Editor)
  • Michele Berlingerio (Editor)
  • Neil Hurley (Editor)

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.

Original languageEnglish
Place of PublicationCham
PublisherSpringer Verlag
Volume11053
Number of pages706
ISBN (print)978-3-030-10996-7
ISBN (electronic)978-3-030-10997-4
DOIs
Publication statusPublished - 2019
EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2018 - Dublin, Ireland
Duration: 10.09.201814.09.2018
http://www.ecmlpkdd2018.org/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11054 LNAI
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

    Research areas

  • 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

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