Learning Comprehensible Models for Analysis and Predictions in Scientific Databases - edizione con copertina flessibile
2014, ISBN: 3863592050
[EAN: 9783863592059], Livro novo, [SC: 20.9], [PU: Apprimus Wissenschaftsver Apr 2014], DATA MINING (EDV), Neuware - Efficient handling and analysis of experimental measurements is an ess… Altro …
ZVAB.com AHA-BUCH GmbH, Einbeck, Germany [51283250] [qualificação: 5 (de 5)] NEW BOOK. Costi di spedizione: EUR 20.90 Details... |
ISBN: 9783863592059
Efficient handling and analysis of experimental measurements is an essential part of research and development in a multitude of disciplines (e.g., engineering, chemistry, biology), since … Altro …
Dodax.de Nr. Costi di spedizione:, Lieferzeit: 11 Tage, DE. (EUR 0.00) Details... |
2014, ISBN: 9783863592059
Erscheinungsdatum: 16.04.2014, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Learning Comprehensible Models for Analysis and Predictions in Scientific Databases, Autor: Zi… Altro …
Averdo.com Nr. Costi di spedizione:, Next Day, DE. (EUR 0.00) Details... |
2014, ISBN: 9783863592059
[PU: Apprimus Verlag], DE, [SC: 0.00], Neuware, gewerbliches Angebot, 210x148 mm, 202, [GW: 300g], 1
booklooker.de verschiedene Anbieter Costi di spedizione:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Details... |
2014, ISBN: 9783863592059
[PU: Apprimus Verlag], DE, [SC: 0.00], Neuware, gewerbliches Angebot, 202, [GW: 300g], 1
booklooker.de verschiedene Anbieter Costi di spedizione:Versandkostenfrei, Versand nach Deutschland (EUR 0.00) Details... |
Learning Comprehensible Models for Analysis and Predictions in Scientific Databases - edizione con copertina flessibile
2014, ISBN: 3863592050
[EAN: 9783863592059], Livro novo, [SC: 20.9], [PU: Apprimus Wissenschaftsver Apr 2014], DATA MINING (EDV), Neuware - Efficient handling and analysis of experimental measurements is an ess… Altro …
ISBN: 9783863592059
Efficient handling and analysis of experimental measurements is an essential part of research and development in a multitude of disciplines (e.g., engineering, chemistry, biology), since … Altro …
2014
ISBN: 9783863592059
Erscheinungsdatum: 16.04.2014, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Learning Comprehensible Models for Analysis and Predictions in Scientific Databases, Autor: Zi… Altro …
2014, ISBN: 9783863592059
[PU: Apprimus Verlag], DE, [SC: 0.00], Neuware, gewerbliches Angebot, 210x148 mm, 202, [GW: 300g], 1
2014, ISBN: 9783863592059
[PU: Apprimus Verlag], DE, [SC: 0.00], Neuware, gewerbliches Angebot, 202, [GW: 300g], 1
Dati bibliografici del miglior libro corrispondente
Informazioni dettagliate del libro - Learning Comprehensible Models for Analysis and Predictions in Scientific Databases
EAN (ISBN-13): 9783863592059
ISBN (ISBN-10): 3863592050
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2014
Editore: Apprimus Wissenschaftsver
Libro nella banca dati dal 2014-11-27T23:23:29+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2020-08-05T10:29:11+02:00 (Rome)
ISBN/EAN: 9783863592059
ISBN - Stili di scrittura alternativi:
3-86359-205-0, 978-3-86359-205-9
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : uwe zimmer
Titolo del libro: zimmer, models
Dati dell'editore
Autore: Anca Zimmer
Titolo: Learning Comprehensible Models for Analysis and Predictions in Scientific Databases
Editore: Apprimus Verlag
Anno di pubblicazione: 2014-04-16
Aachen; DE
Stampato / Fatto in
Peso: 0,300 kg
Lingua: Inglese
39,00 € (DE)
40,10 € (AT)
Available
BA; PB; Hardcover, Softcover / Informatik, EDV; Informatik und Informationstechnologie; Verstehen; Zimmer; Informatik; Data Mining
Efficient handling and analysis of experimental measurements is an essential part of research and development in a multitude of disciplines (e.g., engineering, chemistry, biology), since these contain information about the underlying processes. Researchers investigate processes by running experiments and gathering potentially a huge amount of data which is then to be evaluated. For environmental monitoring wireless sensor networks are used to collect data at spatially and temporally discrete positions. In mechanical engineering and related areas, potentially complex test-benches are set up and observations are recorded. Besides an efficient and effective way of exploring multiple results, researchers strive to discover correlations within the measured data. Moreover, model-based prediction of expected measurements can be highly beneficial for designing further experiments.< Per archiviare...