| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996385730503316 |
|
|
Titolo |
The great and famous battel of Lutzen [[electronic resource] ] : fought betweene the renowned King of Sweden, and Walstein; vvherein were left dead vpon the place between 5 and 6000. of the Swedish party, and between 10 and 12000. of the Imperialists, where the King himselfe was vnfortunatly slain ... Here is also inserted an abridgment of the Kings life, and a relation of the King of Bohemia's death. Faithfully translated out of the French coppie |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
[London], : Imprinted, 1633 |
|
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
French original not traced. |
Place of publication from STC. |
Variant: lacking "Faithfully .. copie" on the title page. |
Reproduction of the original in the Henry E. Huntington Library and Art Gallery. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910346933103321 |
|
|
Autore |
Mikut Ralf |
|
|
Titolo |
Data Mining in der Medizin und Medizintechnik |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
KIT Scientific Publishing, 2008 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 electronic resource (VIII, 356 p.) |
|
|
|
|
|
|
Collana |
|
Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH) |
|
|
|
|
|
|
|
|
Soggetti |
|
Technology: general issues |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
Dieses Buch systematisiert Ziele, Einsatzszenarien, Vorgehensweisen, Methoden und Anwendungsfelder für eine automatisierte Datenanalyse in der Medizin und Medizintechnik. Es wendet sich hauptsächlich an Doktoranden, Diplom- und Masterstudenten der Ingenieurwissenschaften und Informatik. Im Mittelpunkt steht dabei das Spannungsfeld zwischen medizinischen Anwendern und ihren Zielstellungen sowie den Potenzialen vorhandener Data-Mining-Verfahren. |
|
|
|
|
|
|
|
| |