Machine learning, optimization, and big data: third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers
Gespeichert in:
Körperschaft: | |
---|---|
Weitere Verfasser: | |
Format: | Tagungsbericht Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2018]
|
Schriftenreihe: | Lecture notes in computer science
10710 |
Schlagworte: | |
Beschreibung: | XXI, 600 Seiten Illustrationen, Diagramme |
ISBN: | 9783319729251 |
Internformat
MARC
LEADER | 00000nam a2200000zcb4500 | ||
---|---|---|---|
001 | BV044736482 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 180130s2018 a||| |||| 10||| eng d | ||
020 | |a 9783319729251 |9 978-3-319-72925-1 | ||
035 | |a (OCoLC)1021088914 | ||
035 | |a (DE-599)BVBBV044736482 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-83 | ||
082 | 0 | |a 005.7 |2 23 | |
084 | |a SS 4800 |0 (DE-625)143528: |2 rvk | ||
111 | 2 | |a MOD |n 3. |d 2017 |c Volterra |j Verfasser |0 (DE-588)1150418427 |4 aut | |
245 | 1 | 0 | |a Machine learning, optimization, and big data |b third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers |c Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds.) |
264 | 1 | |a Cham |b Springer |c [2018] | |
300 | |a XXI, 600 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Lecture notes in computer science |v 10710 | |
650 | 4 | |a Computer science | |
650 | 4 | |a Computer organization | |
650 | 4 | |a Algorithms | |
650 | 4 | |a Computer science / Mathematics | |
650 | 4 | |a Data mining | |
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Computer Science | |
650 | 4 | |a Information Systems Applications (incl. Internet) | |
650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
650 | 4 | |a Algorithm Analysis and Problem Complexity | |
650 | 4 | |a Data Mining and Knowledge Discovery | |
650 | 4 | |a Mathematics of Computing | |
650 | 4 | |a Computer Systems Organization and Communication Networks | |
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 |
650 | 0 | 7 | |a Informatik |0 (DE-588)4026894-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |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 |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-319-72926-8 |
830 | 0 | |a Lecture notes in computer science |v 10710 |w (DE-604)BV000000607 |9 10710 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-030132433 |
Datensatz im Suchindex
_version_ | 1804178236480946177 |
---|---|
any_adam_object | |
author2 | Nicosia, Giuseppe |
author2_role | edt |
author2_variant | g n gn |
author_corporate | MOD Volterra |
author_corporate_role | aut |
author_facet | Nicosia, Giuseppe MOD Volterra |
author_sort | MOD Volterra |
building | Verbundindex |
bvnumber | BV044736482 |
classification_rvk | SS 4800 |
ctrlnum | (OCoLC)1021088914 (DE-599)BVBBV044736482 |
dewey-full | 005.7 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.7 |
dewey-search | 005.7 |
dewey-sort | 15.7 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Conference Proceeding Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02388nam a2200601zcb4500</leader><controlfield tag="001">BV044736482</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">180130s2018 a||| |||| 10||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319729251</subfield><subfield code="9">978-3-319-72925-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1021088914</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044736482</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-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.7</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SS 4800</subfield><subfield code="0">(DE-625)143528:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="111" ind1="2" ind2=" "><subfield code="a">MOD</subfield><subfield code="n">3.</subfield><subfield code="d">2017</subfield><subfield code="c">Volterra</subfield><subfield code="j">Verfasser</subfield><subfield code="0">(DE-588)1150418427</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning, optimization, and big data</subfield><subfield code="b">third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers</subfield><subfield code="c">Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds.)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XXI, 600 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</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">10710</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer organization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science / Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information Systems Applications (incl. Internet)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithm Analysis and Problem Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics of Computing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Systems Organization and Communication Networks</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="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">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="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</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="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-319-72926-8</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">10710</subfield><subfield code="w">(DE-604)BV000000607</subfield><subfield code="9">10710</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030132433</subfield></datafield></record></collection> |
genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV044736482 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:00:46Z |
institution | BVB |
institution_GND | (DE-588)1150418427 |
isbn | 9783319729251 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030132433 |
oclc_num | 1021088914 |
open_access_boolean | |
owner | DE-83 |
owner_facet | DE-83 |
physical | XXI, 600 Seiten Illustrationen, Diagramme |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Springer |
record_format | marc |
series | Lecture notes in computer science |
series2 | Lecture notes in computer science |
spelling | MOD 3. 2017 Volterra Verfasser (DE-588)1150418427 aut Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds.) Cham Springer [2018] XXI, 600 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 10710 Computer science Computer organization Algorithms Computer science / Mathematics Data mining Artificial intelligence Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Mathematics of Computing Computer Systems Organization and Communication Networks Big Data (DE-588)4802620-7 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Informatik (DE-588)4026894-9 s Maschinelles Lernen (DE-588)4193754-5 s Optimierung (DE-588)4043664-0 s Big Data (DE-588)4802620-7 s DE-604 Nicosia, Giuseppe edt Erscheint auch als Online-Ausgabe 978-3-319-72926-8 Lecture notes in computer science 10710 (DE-604)BV000000607 10710 |
spellingShingle | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers Lecture notes in computer science Computer science Computer organization Algorithms Computer science / Mathematics Data mining Artificial intelligence Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Mathematics of Computing Computer Systems Organization and Communication Networks Big Data (DE-588)4802620-7 gnd Optimierung (DE-588)4043664-0 gnd Informatik (DE-588)4026894-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4802620-7 (DE-588)4043664-0 (DE-588)4026894-9 (DE-588)4193754-5 (DE-588)1071861417 |
title | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers |
title_auth | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers |
title_exact_search | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers |
title_full | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds.) |
title_fullStr | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds.) |
title_full_unstemmed | Machine learning, optimization, and big data third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton (eds.) |
title_short | Machine learning, optimization, and big data |
title_sort | machine learning optimization and big data third international conference mod 2017 volterra italy september 14 17 2017 revised selected papers |
title_sub | third international conference, MOD 2017, Volterra, Italy, September 14–17, 2017 : revised selected papers |
topic | Computer science Computer organization Algorithms Computer science / Mathematics Data mining Artificial intelligence Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Mathematics of Computing Computer Systems Organization and Communication Networks Big Data (DE-588)4802620-7 gnd Optimierung (DE-588)4043664-0 gnd Informatik (DE-588)4026894-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Computer science Computer organization Algorithms Computer science / Mathematics Data mining Artificial intelligence Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Mathematics of Computing Computer Systems Organization and Communication Networks Big Data Optimierung Informatik Maschinelles Lernen Konferenzschrift |
volume_link | (DE-604)BV000000607 |
work_keys_str_mv | AT modvolterra machinelearningoptimizationandbigdatathirdinternationalconferencemod2017volterraitalyseptember14172017revisedselectedpapers AT nicosiagiuseppe machinelearningoptimizationandbigdatathirdinternationalconferencemod2017volterraitalyseptember14172017revisedselectedpapers |