東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Machine learning and principles and ...

Kamp, Michael.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and principles and practice of knowledge discovery in databases/ edited by Michael Kamp ... [et al.].
Reminder of title:	international workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.
remainder title:	ECML PKDD 2021
other author:	Kamp, Michael.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	1 online resource (xxv, 882 p.) :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Advances in Interpretable Machine Learning and Artificial Intelligence -- Parallel, Distributed, and Federated Learning -- Graph Embedding and Mining -- Machine Learning for Irregular Time Series -- IoT, Edge, and Mobile for Embedded Machine Learning -- eXplainable Knowledge Discovery in Data Mining -- Bias and Fairness in AI -- International Workshop on Active Inference.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-93736-2
ISBN:	9783030937362

Machine learning and principles and practice of knowledge discovery in databases = international workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.. Part I /
Machine learning and principles and practice of knowledge discovery in databasesinternational workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.Part I /[electronic resource] :ECML PKDD 2021edited by Michael Kamp ... [et al.]. - Cham :Springer International Publishing :2021. - 1 online resource (xxv, 882 p.) :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,15241865-0937 ;. - Communications in computer and information science ;1524..

Advances in Interpretable Machine Learning and Artificial Intelligence -- Parallel, Distributed, and Federated Learning -- Graph Embedding and Mining -- Machine Learning for Irregular Time Series -- IoT, Edge, and Mobile for Embedded Machine Learning -- eXplainable Knowledge Discovery in Data Mining -- Bias and Fairness in AI -- International Workshop on Active Inference.

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: 9783030937362

Standard No.: 10.1007/978-3-030-93736-2doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

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

Dewey Class. No.: 006.31

Machine learning and principles and practice of knowledge discovery in databases = international workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.. Part I /
LDR:03154nmm a2200349 a 4500 001 2262294
003 DE-He213
005 20220217214231.0
006 m o d
007 cr nn 008maaau
008 220616s2021 sz s 0 eng d
020 $a 9783030937362 $q (electronic bk.)
020 $a 9783030937355 $q (paper)
024 7 $a 10.1007/978-3-030-93736-2 $2 doi
035 $a 978-3-030-93736-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b M33 2021
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M149 2021
245 0 0 $a Machine learning and principles and practice of knowledge discovery in databases $h [electronic resource] : $b international workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings. $n Part I / $c edited by Michael Kamp ... [et al.].
246 3 $a ECML PKDD 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a 1 online resource (xxv, 882 p.) : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 1524
505 0 $a Advances in Interpretable Machine Learning and Artificial Intelligence -- Parallel, Distributed, and Federated Learning -- Graph Embedding and Mining -- Machine Learning for Irregular Time Series -- IoT, Edge, and Mobile for Embedded Machine Learning -- eXplainable Knowledge Discovery in Data Mining -- Bias and Fairness in AI -- International Workshop on Active Inference.
520 $a 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)
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
650 2 4 $a Computers and Education. $3 892757
650 2 4 $a Mathematics of Computing. $3 891213
650 2 4 $a Software Engineering. $3 890874
700 1 $a Kamp, Michael. $3 3538542
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 1524. $3 3538543
856 4 0 $u https://doi.org/10.1007/978-3-030-93736-2
950 $a Computer Science (SpringerNature-11645)