Data Mining on Multimedia Data

• Κύριος συγγραφέας: Perner, Petra (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Computer Science, 2558
• Θέματα: 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.

 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. 

 Data Preparation -- Methods for Data Mining -- Applications -- Conclusion.