Mining Multimedia Documents
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them.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,…
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Produktdetails
Weitere Autoren: Dey, Nilanjan
- ISBN: 978-1-315-39973-7
- EAN: 9781315399737
- Produktnummer: 23902057
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 241 S.
- Plattform: PDF
- Masse: 10'812 KB
- Abbildungen: 67 schwarz-weiße Abbildungen, 31 schwarz-weiße Fotos, 37 schwarz-weiße Zeichnungen, 17 schwarz-weiße Tabellen
Über den 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.
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