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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning and Knowledge Discovery in Databases/ edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet.
Reminder of title:	European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III /
other author:	Brefeld, Ulf.
Description:	XXVIII, 804 p. 379 illus., 222 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-46133-1
ISBN:	9783030461331

Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III /
Machine Learning and Knowledge Discovery in DatabasesEuropean Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III /[electronic resource] :edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet. - 1st ed. 2020. - XXVIII, 804 p. 379 illus., 222 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11908. - Lecture Notes in Artificial Intelligence ;9285.

Reinforcement Learning and Bandits -- Ranking -- Applied Data Science: Computer Vision and Explanation -- Applied Data Science: Healthcare -- Applied Data Science: E-commerce, Finance, and Advertising -- Applied Data Science: Rich Data -- Applied Data Science: Applications -- Demo Track.

The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization. Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.

ISBN: 9783030461331

Standard No.: 10.1007/978-3-030-46133-1doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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