Data science: innovative developments in data analysis and clustering
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2017]
|
Schriftenreihe: | Studies in classification, data analysis, and knowledge organization
|
Schlagworte: | |
Beschreibung: | xvi, 342 Seiten Illustrationen, Diagramme (teilweise farbig) |
ISBN: | 9783319557229 |
ISSN: | 1431-8814 |
Internformat
MARC
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035 | |a (OCoLC)1002243536 | ||
035 | |a (DE-599)BVBBV044451998 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-11 | ||
082 | 0 | |a 519.5 |2 23 | |
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
245 | 1 | 0 | |a Data science |b innovative developments in data analysis and clustering |c Francesco Palumbo, Angela Montanari, Maurizio Vichi, editors |
264 | 1 | |a Cham |b Springer |c [2017] | |
264 | 4 | |c © 2017 | |
300 | |a xvi, 342 Seiten |b Illustrationen, Diagramme (teilweise farbig) | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Studies in classification, data analysis, and knowledge organization |x 1431-8814 | |
650 | 4 | |a Statistics | |
650 | 4 | |a Data mining | |
650 | 4 | |a Statistics | |
650 | 4 | |a Statistical Theory and Methods | |
650 | 4 | |a Data Mining and Knowledge Discovery | |
650 | 4 | |a Statistics and Computing/Statistics Programs | |
650 | 4 | |a Big Data | |
650 | 4 | |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | |
650 | 4 | |a Statistics for Business/Economics/Mathematical Finance/Insurance | |
650 | 4 | |a Statistik | |
650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
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689 | 0 | 1 | |a Statistik |0 (DE-588)4056995-0 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Palumbo, Francesco |0 (DE-588)1069351385 |4 edt | |
700 | 1 | |a Montanari, Angela |4 edt | |
700 | 1 | |a Vichi, Maurizio |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-319-55722-9 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-319-55723-6 |
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999 | |a oai:aleph.bib-bvb.de:BVB01-029852900 |
Datensatz im Suchindex
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---|---|
any_adam_object | |
author2 | Palumbo, Francesco Montanari, Angela Vichi, Maurizio |
author2_role | edt edt edt |
author2_variant | f p fp a m am m v mv |
author_GND | (DE-588)1069351385 |
author_facet | Palumbo, Francesco Montanari, Angela Vichi, Maurizio |
building | Verbundindex |
bvnumber | BV044451998 |
classification_rvk | ST 530 |
ctrlnum | (OCoLC)1002243536 (DE-599)BVBBV044451998 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Informatik Mathematik |
format | Book |
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id | DE-604.BV044451998 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:53:20Z |
institution | BVB |
isbn | 9783319557229 |
issn | 1431-8814 |
language | English |
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physical | xvi, 342 Seiten Illustrationen, Diagramme (teilweise farbig) |
publishDate | 2017 |
publishDateSearch | 2017 |
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publisher | Springer |
record_format | marc |
series2 | Studies in classification, data analysis, and knowledge organization |
spelling | Data science innovative developments in data analysis and clustering Francesco Palumbo, Angela Montanari, Maurizio Vichi, editors Cham Springer [2017] © 2017 xvi, 342 Seiten Illustrationen, Diagramme (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Studies in classification, data analysis, and knowledge organization 1431-8814 Statistics Data mining Statistical Theory and Methods Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Big Data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Business/Economics/Mathematical Finance/Insurance Statistik Data Science (DE-588)1140936166 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Science (DE-588)1140936166 s Statistik (DE-588)4056995-0 s DE-604 Palumbo, Francesco (DE-588)1069351385 edt Montanari, Angela edt Vichi, Maurizio edt Erscheint auch als Druck-Ausgabe 978-3-319-55722-9 Erscheint auch als Online-Ausgabe 978-3-319-55723-6 Erscheint auch als 978-3-319-55723-6 Online-Ausgabe (DE-604)BV044432754 |
spellingShingle | Data science innovative developments in data analysis and clustering Statistics Data mining Statistical Theory and Methods Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Big Data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Business/Economics/Mathematical Finance/Insurance Statistik Data Science (DE-588)1140936166 gnd Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)1140936166 (DE-588)4056995-0 (DE-588)4143413-4 |
title | Data science innovative developments in data analysis and clustering |
title_auth | Data science innovative developments in data analysis and clustering |
title_exact_search | Data science innovative developments in data analysis and clustering |
title_full | Data science innovative developments in data analysis and clustering Francesco Palumbo, Angela Montanari, Maurizio Vichi, editors |
title_fullStr | Data science innovative developments in data analysis and clustering Francesco Palumbo, Angela Montanari, Maurizio Vichi, editors |
title_full_unstemmed | Data science innovative developments in data analysis and clustering Francesco Palumbo, Angela Montanari, Maurizio Vichi, editors |
title_short | Data science |
title_sort | data science innovative developments in data analysis and clustering |
title_sub | innovative developments in data analysis and clustering |
topic | Statistics Data mining Statistical Theory and Methods Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Big Data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Business/Economics/Mathematical Finance/Insurance Statistik Data Science (DE-588)1140936166 gnd Statistik (DE-588)4056995-0 gnd |
topic_facet | Statistics Data mining Statistical Theory and Methods Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Big Data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Business/Economics/Mathematical Finance/Insurance Statistik Data Science Aufsatzsammlung |
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