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Machine learning and knowledge disco...

ECML PKDD (Conference) ((2021 :)

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Machine learning and knowledge discovery in databases = Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.. Part IV /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and knowledge discovery in databases/ edited by Yuxiao Dong ... [et al.].
Reminder of title:	Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.
remainder title:	ECML PKDD 2021
other author:	Dong, Yuxiao.
corporate name:	ECML PKDD (Conference)
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxxiv, 554 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-86514-6
ISBN:	9783030865146

Machine learning and knowledge discovery in databases = Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.. Part IV /
Machine learning and knowledge discovery in databasesApplied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.Part IV /[electronic resource] :ECML PKDD 2021edited by Yuxiao Dong ... [et al.]. - Cham :Springer International Publishing :2021. - xxxiv, 554 p. :ill., digital ;24 cm. - Lecture notes in computer science,129780302-9743 ;. - Lecture notes in computer science ;12978..

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

ISBN: 9783030865146

Standard No.: 10.1007/978-3-030-86514-6doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databases = Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.. Part IV /
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