Visual Data Mining
Theory, Techniques and Tools for Visual Analytics
Visual Data Mining-Opening the Black Box Knowledge discovery holds the promise of insight into large, otherwise opaque datasets. Thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. Being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behavior of the system. There have been some impressive research activities over the past few years but the question to be asked is why is visual data mining only now being - vestiga…
Mehr
CHF 106.50
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
Versandkostenfrei
Produktdetails
Weitere Autoren: Böhlen, Michael H. (Hrsg.) / Mazeika, Arturas (Hrsg.)
- ISBN: 978-3-540-71080-6
- EAN: 9783540710806
- Produktnummer: 33302377
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2008
- Seitenangabe: 407 S.
- Plattform: PDF
- Masse: 71'731 KB
- Auflage: 2008
- Abbildungen: Bibliographie
- Reihenbandnummer: 4404
4 weitere Werke von Simeon (Hrsg.) Simoff:
Bewertungen
Anmelden