國立虎尾科技大學 |

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning = Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning/ edited by Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott.
其他題名:	Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers /
其他作者:	Blott, Michaela.
面頁冊數:	XVII, 310 p. 84 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Software Engineering/Programming and Operating Systems. -
電子資源:	https://doi.org/10.1007/978-3-030-66770-2
ISBN:	9783030667702

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning = Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers /
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine LearningSecond International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers /[electronic resource] :edited by Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott. - 1st ed. 2020. - XVII, 310 p. 84 illus.online resource. - Communications in Computer and Information Science,13251865-0929 ;. - Communications in Computer and Information Science,498.

Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

ISBN: 9783030667702

Standard No.: 10.1007/978-3-030-66770-2doiSubjects--Topical Terms:

669780
Software Engineering/Programming and Operating Systems.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning = Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers /
LDR:02514nam a22003975i 4500 001 1031163
003 DE-He213
005 20210109075200.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030667702 $9 978-3-030-66770-2
024 7 $a 10.1007/978-3-030-66770-2 $2 doi
035 $a 978-3-030-66770-2
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 IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning $h [electronic resource] : $b Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers / $c edited by Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XVII, 310 p. 84 illus. $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 1325
505 0 $a Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.
520 $a This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.
650 2 4 $a Software Engineering/Programming and Operating Systems. $3 669780
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Computer System Implementation. $3 669803
650 2 4 $a Computer Communication Networks. $3 669310
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Software engineering. $3 562952
650 0 $a Application software. $3 528147
650 0 $a Education—Data processing. $3 1253610
650 0 $a Architecture, Computer. $3 1255731
650 0 $a Computer communication systems. $3 1115394
650 0 $a Artificial intelligence. $3 559380
700 1 $a Blott, Michaela. $e editor. $1 https://orcid.org/0000-0002-7833-4057 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328238
700 1 $a Schiele, Gregor. $e editor. $1 https://orcid.org/0000-0003-4266-4828 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328237
700 1 $a Pernkopf, Franz. $e editor. $1 https://orcid.org/0000-0002-6356-3367 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328236
700 1 $a Fröning, Holger. $e editor. $1 https://orcid.org/0000-0001-9562-0680 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328235
700 1 $a Sayed-Mouchawe, Moamar. $e editor. $1 https://orcid.org/0000-0002-6929-986X $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328234
700 1 $a Bifet, Albert. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 805632
700 1 $a Pashami, Sepideh. $e editor. $1 https://orcid.org/0000-0003-3272-4145 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328233
700 1 $a Gama, Joao. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 675774
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030667696
776 0 8 $i Printed edition: $z 9783030667719
830 0 $a Communications in Computer and Information Science, $x 1865-0929 ; $v 498 $3 1253583
856 4 0 $u https://doi.org/10.1007/978-3-030-66770-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)