Data Mining on Multimedia Data
Perner, Petra.
Data Mining on Multimedia Data [electronic resource] / by Petra Perner. - 1st ed. 2003. - X, 138 p. online resource. - Lecture Notes in Computer Science, 2558 1611-3349 ; . - Lecture Notes in Computer Science, 2558 .
Data Preparation -- Methods for Data Mining -- Applications -- Conclusion.
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.
9783540362821
10.1007/3-540-36282-7 doi
Data structures (Computer science).
Information theory.
Database management.
Multimedia systems.
Artificial intelligence.
Computer vision.
Business information services.
Data Structures and Information Theory.
Database Management.
Multimedia Information Systems.
Artificial Intelligence.
Computer Vision.
IT in Business.
QA76.9.D35 Q350-390
005.73 003.54
Data Mining on Multimedia Data [electronic resource] / by Petra Perner. - 1st ed. 2003. - X, 138 p. online resource. - Lecture Notes in Computer Science, 2558 1611-3349 ; . - Lecture Notes in Computer Science, 2558 .
Data Preparation -- Methods for Data Mining -- Applications -- Conclusion.
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.
9783540362821
10.1007/3-540-36282-7 doi
Data structures (Computer science).
Information theory.
Database management.
Multimedia systems.
Artificial intelligence.
Computer vision.
Business information services.
Data Structures and Information Theory.
Database Management.
Multimedia Information Systems.
Artificial Intelligence.
Computer Vision.
IT in Business.
QA76.9.D35 Q350-390
005.73 003.54