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Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and knowledge discovery in databasesedited by Ulf Brefeld ... [et al.].
Reminder of title:	European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.
remainder title:	ECML PKDD 2019
other author:	Brefeld, Ulf.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xxviii, 804 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-46133-1
ISBN:	9783030461331$q(electronic bk.)

Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /[electronic resource] :ECML PKDD 2019edited by Ulf Brefeld ... [et al.]. - Cham :Springer International Publishing :2020. - xxviii, 804 p. :ill., digital ;24 cm. - Lecture notes in computer science,119080302-9743 ;. - Lecture notes in computer science ;4891..

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 Wurzburg, 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$q(electronic bk.)

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

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .E35 2019

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /
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