Clustering methods for Big Data analytics: techniques, toolboxes and applications
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schriftenreihe: | Unsupervised and semi-supervised learning
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext http://www.springer.com/ |
| Beschreibung: | ix, 187 Seiten Illustrationen, Diagramme 23.5 cm x 15.5 cm |
| ISBN: | 9783319978635 3319978632 |
Internformat
MARC
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| 245 | 1 | 0 | |a Clustering methods for Big Data analytics |b techniques, toolboxes and applications |c Olfa Nasraoui, Chiheb-Eddine Ben N'Cir, editors |
| 264 | 1 | |a Cham |b Springer |c [2019] | |
| 300 | |a ix, 187 Seiten |b Illustrationen, Diagramme |c 23.5 cm x 15.5 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Unsupervised and semi-supervised learning | |
| 653 | |a Applications of big data clustering methods | ||
| 653 | |a Clustering heterogeneous data | ||
| 653 | |a Clustering large scale data | ||
| 653 | |a Clustering multimedia and multi-structured data | ||
| 653 | |a Deep learning methods for clustering | ||
| 653 | |a UYQ | ||
| 653 | |a UNF | ||
| 653 | |a KJQ | ||
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 700 | 1 | |a Nasraoui, Olfa |d 1968- |0 (DE-588)132457911 |4 edt | |
| 700 | 1 | |a Ben N'Cir, Chiheb-Eddine |d 1985- |0 (DE-588)1253038805 |4 edt | |
| 710 | 2 | |a Springer International Publishing |0 (DE-588)1064344704 |4 pbl | |
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Datensatz im Suchindex
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| building | Verbundindex |
| bvnumber | BV045448090 |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| indexdate | 2024-07-10T08:18:21Z |
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| isbn | 9783319978635 3319978632 |
| language | English |
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| physical | ix, 187 Seiten Illustrationen, Diagramme 23.5 cm x 15.5 cm |
| publishDate | 2019 |
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| publisher | Springer |
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| series2 | Unsupervised and semi-supervised learning |
| spelling | Clustering methods for Big Data analytics techniques, toolboxes and applications Olfa Nasraoui, Chiheb-Eddine Ben N'Cir, editors Cham Springer [2019] ix, 187 Seiten Illustrationen, Diagramme 23.5 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier Unsupervised and semi-supervised learning Applications of big data clustering methods Clustering heterogeneous data Clustering large scale data Clustering multimedia and multi-structured data Deep learning methods for clustering UYQ UNF KJQ (DE-588)4143413-4 Aufsatzsammlung gnd-content Nasraoui, Olfa 1968- (DE-588)132457911 edt Ben N'Cir, Chiheb-Eddine 1985- (DE-588)1253038805 edt Springer International Publishing (DE-588)1064344704 pbl Erscheint auch als Online-Ausgabe 978-3-319-97864-2 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=dda8773750c0425fb67bfd136bf945b0&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ |
| spellingShingle | Clustering methods for Big Data analytics techniques, toolboxes and applications |
| subject_GND | (DE-588)4143413-4 |
| title | Clustering methods for Big Data analytics techniques, toolboxes and applications |
| title_auth | Clustering methods for Big Data analytics techniques, toolboxes and applications |
| title_exact_search | Clustering methods for Big Data analytics techniques, toolboxes and applications |
| title_full | Clustering methods for Big Data analytics techniques, toolboxes and applications Olfa Nasraoui, Chiheb-Eddine Ben N'Cir, editors |
| title_fullStr | Clustering methods for Big Data analytics techniques, toolboxes and applications Olfa Nasraoui, Chiheb-Eddine Ben N'Cir, editors |
| title_full_unstemmed | Clustering methods for Big Data analytics techniques, toolboxes and applications Olfa Nasraoui, Chiheb-Eddine Ben N'Cir, editors |
| title_short | Clustering methods for Big Data analytics |
| title_sort | clustering methods for big data analytics techniques toolboxes and applications |
| title_sub | techniques, toolboxes and applications |
| topic_facet | Aufsatzsammlung |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=dda8773750c0425fb67bfd136bf945b0&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ |
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