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El. knyga: Mining Multimedia Documents

(Taif University, Saudi Arabia), (Techno College of Tech, India)
  • Formatas: 241 pages
  • Išleidimo metai: 21-Apr-2017
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781315399737
  • Formatas: 241 pages
  • Išleidimo metai: 21-Apr-2017
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781315399737

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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, 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.
Preface vii
Editors xi
Contributors xiii
Section I Motivation and Problem Definition
1 Mining Multimedia Documents: An Overview
3(18)
Sabrine Benzarti Somai
Wahiba Ben Abdessalem Karaa
Henda Ben Ghezela
Section II Text Mining Using NLP Techniques
2 Fuzzy Logic for Text Document Clustering
21(14)
Kawther Dridi
Wahiba Ben Abdessalem Karaa
Eman Alkhammash
3 Toward Modeling Semiautomatic Data Warehouses: Guided by Social Interactions
35(18)
Wafa Tebourski
Wahiba Ben Abdessalem Karaa
Henda Ben Ghezela
4 Multi-Agent System for Text Mining
53(14)
Safa Selmi
Wahiba Ben Abdessalem Karaa
5 Transformation of User Requirements in UML Diagrams: An Overview
67(14)
Mariem Abdouli
Wahiba Ben Abdessalem Karaa
Henda Ben Ghezela
6 Overview of Information Extraction Using Textual Case-Based Reasoning
81(12)
Monia Mannai
Wahiba Ben Abdessalem Karaa
Henda Ben Ghezela
7 Opinion Classification from Blogs
93(14)
Eya Ben Ahmed
Wahiba Ben Abdessalem Karaa
Ines Chouat
Section III Multimodal Document Mining
8 Document Classification Based on Text and Image Features
107(10)
Maram Mahmoud A. Monshi
9 Content-Based Image Retrieval Techniques
117(16)
Sayan Chakraborty
Prasenjit Kumar Patra
Nilanjan Dey
Amira S. Ashour
10 Knowledge Mining from Medical Images
133(14)
Amira S. Ashour
Nilanjan Dey
Suresh Chandra Satapathy
11 Segmentation for Medical Image Mining
147(14)
Amira S. Ashour
Nilanjan Dey
12 Biological Data Mining: Techniques and Applications
161(12)
Amira S. Ashour
Nilanjan Dey
Dac-Nhuong Le
13 Video Text Extraction and Mining
173(20)
Surekha Borra
Nilanjan Dey
Amira S. Ashour
14 Deep Learning for Multimedia Content Analysis
193(12)
Nilanjan Dey
Amira S. Ashour
Gia Nhu Nguyen
15 Video-Image-Text Content Mining
205(14)
Adjan Abosolaiman
Index 219
Wahiba Ben Abdessalem Karāa 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.