Vai al contenuto principale della pagina

Data Mining on Multimedia Data / / by Petra Perner



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Perner Petra Visualizza persona
Titolo: Data Mining on Multimedia Data / / by Petra Perner Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Edizione: 1st ed. 2003.
Descrizione fisica: 1 online resource (X, 138 p.)
Disciplina: 006.3
Soggetto topico: Data structures (Computer science)
Database management
Multimedia information systems
Artificial intelligence
Optical data processing
Information technology
Business—Data processing
Data Structures and Information Theory
Database Management
Multimedia Information Systems
Artificial Intelligence
Image Processing and Computer Vision
IT in Business
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Data Preparation -- Methods for Data Mining -- Applications -- Conclusion.
Sommario/riassunto: Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in early days primarily on numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all kinds of data such as documents, images, and signals. This book introduces the basic concepts of mining multimedia data and demonstrates how to apply these methods in various application fields. It is written for students, ambitioned professionals from industry and medicine, and for scientists who want to contribute R&D work to the field or apply this new technology.
Titolo autorizzato: Data mining on multimedia data  Visualizza cluster
ISBN: 3-540-36282-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910145912403321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Computer Science, . 0302-9743 ; ; 2558