Mining Multimedia Documents
Acerca de este libro electrónico
Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.
Acerca del autor
Wahiba Ben Abdessalem Karâa is a professor in the Department of Computer and Information Science at the University of Tunis. She obtained her PhD from Paris 7 Jussieu, France. Her research interests include natural language processing, text mining, image mining, and data mining. She is a member of the editorial board of the several International journals and is the editor-in-chief of the International Journal of Image Mining.
Nilanjan Dey
is a professor in the Department of Information Technology in Techno India College of Technology, Kolkata. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, International Journal of Rough Sets and Data Analysis, and Series Editor of the Advances in Geospatial Technologies Book Series. His research interests include medical imaging, soft computing, data mining, machine learning, rough set, mathematical modelling and computer simulation, and the modelling of biomedical systems.
