Machine Learning and Knowledge Discovery in Databases
ISBN: 978-30-301-0996-7
Format: 15.6x23.4cm
Liczba stron: 740
Oprawa: Miękka
Wydanie: 2019 r.
Język: angielski
Dostępność: dostępny
<p>The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. </p>
The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. <p></p>
<p>The contributions were organized in topical sections named as follows:<br> Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation.<br> Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.<br> Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.</p>