國立虎尾科技大學 |

Machine Learning and Knowledge Discovery in Databases = International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning and Knowledge Discovery in Databases/ edited by Peggy Cellier, Kurt Driessens.
Reminder of title:	International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /
other author:	Cellier, Peggy.
Description:	XX, 679 p. 325 illus., 157 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-43823-4
ISBN:	9783030438234

Machine Learning and Knowledge Discovery in Databases = International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /
Machine Learning and Knowledge Discovery in DatabasesInternational Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /[electronic resource] :edited by Peggy Cellier, Kurt Driessens. - 1st ed. 2020. - XX, 679 p. 325 illus., 157 illus. in color.online resource. - Communications in Computer and Information Science,11671865-0929 ;. - Communications in Computer and Information Science,498.

Automating Data Science -- Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining (AIMLAI-XKDD) -- Decentralized Machine Learning at the Edge -- Advances in Managing and Mining Large Evolving Graphs -- Data and Machine Learning Advances with Multiple Views -- New Trends in Representation Learning with Knowledge Graphs (KGRL) -- Fourth Workshop on Data Science for Social Good (SoGood).

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. .

ISBN: 9783030438234

Standard No.: 10.1007/978-3-030-43823-4doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Machine Learning and Knowledge Discovery in Databases = International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /
LDR:03605nam a22003975i 4500 001 1027772
003 DE-He213
005 20200701153556.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030438234 $9 978-3-030-43823-4
024 7 $a 10.1007/978-3-030-43823-4 $2 doi
035 $a 978-3-030-43823-4
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Machine Learning and Knowledge Discovery in Databases $h [electronic resource] : $b International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I / $c edited by Peggy Cellier, Kurt Driessens.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XX, 679 p. 325 illus., 157 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Communications in Computer and Information Science, $x 1865-0929 ; $v 1167
505 0 $a Automating Data Science -- Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining (AIMLAI-XKDD) -- Decentralized Machine Learning at the Edge -- Advances in Managing and Mining Large Evolving Graphs -- Data and Machine Learning Advances with Multiple Views -- New Trends in Representation Learning with Knowledge Graphs (KGRL) -- Fourth Workshop on Data Science for Social Good (SoGood).
520 $a This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. .
650 0 $a Artificial intelligence. $3 559380
650 0 $a Application software. $3 528147
650 0 $a Education—Data processing. $3 1253610
650 0 $a Computer communication systems. $3 1115394
650 0 $a Optical data processing. $3 639187
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Applications. $3 669785
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
700 1 $a Cellier, Peggy. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1076418
700 1 $a Driessens, Kurt. $e editor. $1 https://orcid.org/0000-0001-7871-2495 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1324207
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030438227
776 0 8 $i Printed edition: $z 9783030438241
830 0 $a Communications in Computer and Information Science, $x 1865-0929 ; $v 498 $3 1253583
856 4 0 $u https://doi.org/10.1007/978-3-030-43823-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)