Advances in Data Mining. Applications and Theoretical Aspects
17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.
The 27 revised full papers presented were carefully reviewed and selected from 71 submissions....
The 27 revised full papers presented were carefully reviewed and selected from 71 submissions....
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
53.49 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Advances in Data Mining. Applications and Theoretical Aspects “
Klappentext zu „Advances in Data Mining. Applications and Theoretical Aspects “
This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.
Inhaltsverzeichnis zu „Advances in Data Mining. Applications and Theoretical Aspects “
Theoretical aspects of data mining.- Applications of data mining.- Multimedia data, in marketing, in medicine.- Process control in industry and society.
Bibliographische Angaben
- 2017, 1st ed. 2017, XI, 346 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Petra Perner
- Verlag: Springer, Berlin
- ISBN-10: 3319627007
- ISBN-13: 9783319627007
- Erscheinungsdatum: 04.07.2017
Sprache:
Englisch
Kommentar zu "Advances in Data Mining. Applications and Theoretical Aspects"
0 Gebrauchte Artikel zu „Advances in Data Mining. Applications and Theoretical Aspects“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Advances in Data Mining. Applications and Theoretical Aspects".
Kommentar verfassen