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Machine learning and principles and ...

Kamp, Michael.

Machine learning and principles and practice of knowledge discovery in databasesinternational workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and principles and practice of knowledge discovery in databasesedited by Michael Kamp ... [et al.].
其他題名:	international workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.
其他作者:	Kamp, Michael.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	1 online resource (xxvi, 584 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-93733-1
ISBN:	9783030937331$q(electronic bk.)

Machine learning and principles and practice of knowledge discovery in databasesinternational workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.Part II /
Machine learning and principles and practice of knowledge discovery in databasesinternational workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.Part II /[electronic resource] :edited by Michael Kamp ... [et al.]. - Cham :Springer International Publishing :2021. - 1 online resource (xxvi, 584 p.) :ill., digital ;24 cm. - Communications in computer and information science,15251865-0937 ;. - Communications in computer and information science ;229..

Machine Learning for CyberSecurity -- Workshop on Machine Learning in Softtware Engineering -- MIning DAta for financial applicationS -- Sixth Workshop on Data Science for Social Good (SoGood 2021) -- Machine Learning for Pharma and Healthcare Applications -- Machine Learning for Buildings Energy Management.

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops: Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021) Workshop on Parallel, Distributed and Federated Learning (PDFL 2021) Workshop on Graph Embedding and Mining (GEM 2021) Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021) Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021) Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021) Workshop on Bias and Fairness in AI (BIAS 2021) Workshop on Workshop on Active Inference (IWAI 2021) Workshop on Machine Learning for Cybersecurity (MLCS 2021) Workshop on Machine Learning in Software Engineering (MLiSE 2021) Workshop on MIning Data for financial applications (MIDAS 2021) Sixth Workshop on Data Science for Social Good (SoGood 2021) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021) Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)

ISBN: 9783030937331$q(electronic bk.)

Standard No.: 10.1007/978-3-030-93733-1doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / M33 2021

Dewey Class. No.: 006.31

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