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Machine learning and knowledge disco...

(1998 :)

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and knowledge discovery in databasesedited by Yuxiao Dong ... [et al.].
其他題名:	Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.
其他題名:	ECML PKDD 2021
其他作者:	Dong, Yuxiao.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xxxiv, 516 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-86517-7
ISBN:	9783030865177$q(electronic bk.)

Machine learning and knowledge discovery in databasesApplied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.Part V /
Machine learning and knowledge discovery in databasesApplied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021 : proceedings.Part V /[electronic resource] :ECML PKDD 2021edited by Yuxiao Dong ... [et al.]. - Cham :Springer International Publishing :2021. - xxxiv, 516 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,129790302-9743 ;. - Lecture notes in computer science ;4891..

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: 9783030865177$q(electronic bk.)

Standard No.: 10.1007/978-3-030-86517-7doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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