Verfügbarkeit: Machine learning, optimization, and data science

Machine learning, optimization, and data science: 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I

Gespeichert in:

Bibliographische Detailangaben
Körperschaft:	LOD Grasmere; Online (VerfasserIn)
Weitere beteiligte Personen:	Nicosia, Giuseppe (HerausgeberIn), Ojha, Varun (HerausgeberIn), La Malfa, Emanuele (HerausgeberIn), La Malfa, Gabriele (HerausgeberIn), Jansen, Giorgio (HerausgeberIn), Pardalos, Panos M. (HerausgeberIn), Giuffrida, Giovanni (HerausgeberIn), Umeton, Renato (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Cham, Switzerland Springer [2022]
Schriftenreihe:	Lecture notes in computer science 13163
Schlagwörter:	Computer and Information Systems Applications Application software Maschinelles Lernen Informatik Big Data Optimierung Konferenzschrift > 2021 > Grasmere; Online
Links:	https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3 https://doi.org/10.1007/978-3-030-95467-3
Umfang:	1 Online-Ressource (xxiv, 644 Seiten) 201 Illustrationen, 186 in Farbe
ISBN:	9783030954673
DOI:	10.1007/978-3-030-95467-3

Internformat

MARC


LEADER	00000nam a2200000zcb4500
001	BV047875373
003	DE-604
005	20220318
007	cr\|uuu---uuuuu
008	220309s2022 xx a\|\|\| o\|\|\|\| 10\|\|\| eng d
020			\|a 9783030954673 \|c Online \|9 978-3-030-95467-3
024	7		\|a 10.1007/978-3-030-95467-3 \|2 doi
035			\|a (ZDB-2-SCS)9783030954673
035			\|a (ZDB-2-LNC)9783030954673
035			\|a (OCoLC)1304483621
035			\|a (DE-599)BVBBV047875373
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-355 \|a DE-860 \|a DE-91 \|a DE-19 \|a DE-Aug4 \|a DE-898 \|a DE-861 \|a DE-188 \|a DE-523 \|a DE-859 \|a DE-473 \|a DE-29 \|a DE-863 \|a DE-1050 \|a DE-20 \|a DE-862 \|a DE-92 \|a DE-824 \|a DE-384 \|a DE-573 \|a DE-M347 \|a DE-703 \|a DE-706 \|a DE-739 \|a DE-634
082	0		\|a 005.3 \|2 23
084			\|a DAT 000 \|2 stub
111	2		\|a LOD \|n 7. \|d 2021 \|c Grasmere; Online \|j Verfasser \|0 (DE-588)1252261888 \|4 aut
245	1	0	\|a Machine learning, optimization, and data science \|b 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I \|c Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton (eds.)
264		1	\|a Cham, Switzerland \|b Springer \|c [2022]
300			\|a 1 Online-Ressource (xxiv, 644 Seiten) \|b 201 Illustrationen, 186 in Farbe
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
490	1		\|a Lecture notes in computer science \|v 13163 \|a Information systems and applications, incl. internet/web, and HCI
650		4	\|a Computer and Information Systems Applications
650		4	\|a Application software
650	0	7	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|2 gnd \|9 rswk-swf
650	0	7	\|a Informatik \|0 (DE-588)4026894-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Big Data \|0 (DE-588)4802620-7 \|2 gnd \|9 rswk-swf
650	0	7	\|a Optimierung \|0 (DE-588)4043664-0 \|2 gnd \|9 rswk-swf
655		7	\|0 (DE-588)1071861417 \|a Konferenzschrift \|y 2021 \|z Grasmere; Online \|2 gnd-content
689	0	0	\|a Informatik \|0 (DE-588)4026894-9 \|D s
689	0	1	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	0	2	\|a Optimierung \|0 (DE-588)4043664-0 \|D s
689	0	3	\|a Big Data \|0 (DE-588)4802620-7 \|D s
689	0		\|5 DE-604
700	1		\|a Nicosia, Giuseppe \|0 (DE-588)171522710 \|4 edt
700	1		\|a Ojha, Varun \|4 edt
700	1		\|a La Malfa, Emanuele \|4 edt
700	1		\|a La Malfa, Gabriele \|4 edt
700	1		\|a Jansen, Giorgio \|4 edt
700	1		\|a Pardalos, Panos M. \|4 edt
700	1		\|a Giuffrida, Giovanni \|4 edt
700	1		\|a Umeton, Renato \|4 edt
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-030-95466-6
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-030-95468-0
830		0	\|a Lecture notes in computer science \|v 13163 \|w (DE-604)BV014880109 \|9 13163
856	4	0	\|u https://doi.org/10.1007/978-3-030-95467-3 \|x Verlag \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-2-SCS
912			\|a ZDB-2-LNC
940	1		\|q ZDB-2-SCS_2022
940	1		\|q ZDB-2-LNC_2022
943	1		\|a oai:aleph.bib-bvb.de:BVB01-033257792
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-634 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-Aug4 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-1050 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-573 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-M347 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-92 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-898 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-859 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-860 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-861 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-863 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-862 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-523 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-91 \|p ZDB-2-LNC \|q ZDB-2-LNC_2022 \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-384 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-473 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-19 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-355 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-703 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-20 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-706 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-824 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-29 \|p ZDB-2-LNC \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-95467-3 \|l DE-739 \|p ZDB-2-LNC \|x Verlag \|3 Volltext

Datensatz im Suchindex

DE-BY-TUM_katkey	2614941
_version_	1821936260450615296
any_adam_object
author2	Nicosia, Giuseppe Ojha, Varun La Malfa, Emanuele La Malfa, Gabriele Jansen, Giorgio Pardalos, Panos M. Giuffrida, Giovanni Umeton, Renato
author2_role	edt edt edt edt edt edt edt edt
author2_variant	g n gn v o vo m e l me mel m g l mg mgl g j gj p m p pm pmp g g gg r u ru
author_GND	(DE-588)171522710
author_corporate	LOD Grasmere; Online
author_corporate_role	aut
author_facet	Nicosia, Giuseppe Ojha, Varun La Malfa, Emanuele La Malfa, Gabriele Jansen, Giorgio Pardalos, Panos M. Giuffrida, Giovanni Umeton, Renato LOD Grasmere; Online
author_sort	LOD Grasmere; Online
building	Verbundindex
bvnumber	BV047875373
classification_tum	DAT 000
collection	ZDB-2-SCS ZDB-2-LNC
ctrlnum	(ZDB-2-SCS)9783030954673 (ZDB-2-LNC)9783030954673 (OCoLC)1304483621 (DE-599)BVBBV047875373
dewey-full	005.3
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	005 - Computer programming, programs, data, security
dewey-raw	005.3
dewey-search	005.3
dewey-sort	15.3
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
doi_str_mv	10.1007/978-3-030-95467-3
format	Electronic Conference Proceeding eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05300nam a2200949zcb4500</leader><controlfield tag="001">BV047875373</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220318 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">220309s2022 xx a\|\|\| o\|\|\|\| 10\|\|\| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030954673</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-030-95467-3</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-030-95467-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SCS)9783030954673</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-LNC)9783030954673</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1304483621</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047875373</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-384</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="111" ind1="2" ind2=" "><subfield code="a">LOD</subfield><subfield code="n">7.</subfield><subfield code="d">2021</subfield><subfield code="c">Grasmere; Online</subfield><subfield code="j">Verfasser</subfield><subfield code="0">(DE-588)1252261888</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning, optimization, and data science</subfield><subfield code="b">7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I</subfield><subfield code="c">Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton (eds.)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham, Switzerland</subfield><subfield code="b">Springer</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxiv, 644 Seiten)</subfield><subfield code="b">201 Illustrationen, 186 in Farbe</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">13163</subfield><subfield code="a">Information systems and applications, incl. internet/web, and HCI</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer and Information Systems Applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Informatik</subfield><subfield code="0">(DE-588)4026894-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Optimierung</subfield><subfield code="0">(DE-588)4043664-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">2021</subfield><subfield code="z">Grasmere; Online</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Informatik</subfield><subfield code="0">(DE-588)4026894-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Optimierung</subfield><subfield code="0">(DE-588)4043664-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nicosia, Giuseppe</subfield><subfield code="0">(DE-588)171522710</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ojha, Varun</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">La Malfa, Emanuele</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">La Malfa, Gabriele</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jansen, Giorgio</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pardalos, Panos M.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Giuffrida, Giovanni</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Umeton, Renato</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-95466-6</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-95468-0</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">13163</subfield><subfield code="w">(DE-604)BV014880109</subfield><subfield code="9">13163</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SCS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-LNC</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SCS_2022</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-LNC_2022</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033257792</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-634</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-M347</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-861</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-863</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-862</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-523</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="q">ZDB-2-LNC_2022</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-384</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-473</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-19</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-355</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-703</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-20</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-824</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-29</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-95467-3</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-2-LNC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
genre	(DE-588)1071861417 Konferenzschrift 2021 Grasmere; Online gnd-content
genre_facet	Konferenzschrift 2021 Grasmere; Online
id	DE-604.BV047875373
illustrated	Illustrated
indexdate	2024-12-20T19:31:00Z
institution	BVB
institution_GND	(DE-588)1252261888
isbn	9783030954673
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033257792
oclc_num	1304483621
open_access_boolean
owner	DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (xxiv, 644 Seiten) 201 Illustrationen, 186 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022 ZDB-2-LNC ZDB-2-LNC_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer
record_format	marc
series	Lecture notes in computer science
series2	Lecture notes in computer science Information systems and applications, incl. internet/web, and HCI
spellingShingle	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I Lecture notes in computer science Computer and Information Systems Applications Application software Maschinelles Lernen (DE-588)4193754-5 gnd Informatik (DE-588)4026894-9 gnd Big Data (DE-588)4802620-7 gnd Optimierung (DE-588)4043664-0 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4026894-9 (DE-588)4802620-7 (DE-588)4043664-0 (DE-588)1071861417
title	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I
title_auth	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I
title_exact_search	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I
title_full	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton (eds.)
title_fullStr	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton (eds.)
title_full_unstemmed	Machine learning, optimization, and data science 7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton (eds.)
title_short	Machine learning, optimization, and data science
title_sort	machine learning optimization and data science 7th international conference lod 2021 grasmere uk october 4 8 2021 revised selected papers part i
title_sub	7th international conference, LOD 2021, Grasmere, UK, October 4–8, 2021, revised selected papers, part I
topic	Computer and Information Systems Applications Application software Maschinelles Lernen (DE-588)4193754-5 gnd Informatik (DE-588)4026894-9 gnd Big Data (DE-588)4802620-7 gnd Optimierung (DE-588)4043664-0 gnd
topic_facet	Computer and Information Systems Applications Application software Maschinelles Lernen Informatik Big Data Optimierung Konferenzschrift 2021 Grasmere; Online
url	https://doi.org/10.1007/978-3-030-95467-3
volume_link	(DE-604)BV014880109
work_keys_str_mv	AT lodgrasmereonline machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT nicosiagiuseppe machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT ojhavarun machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT lamalfaemanuele machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT lamalfagabriele machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT jansengiorgio machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT pardalospanosm machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT giuffridagiovanni machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti AT umetonrenato machinelearningoptimizationanddatascience7thinternationalconferencelod2021grasmereukoctober482021revisedselectedpapersparti

Verfügbarkeit

Bestellen (Login erforderlich)

Online lesen