Cantitate/Preț
Produs

Mining Multimedia Documents

Autor Wahiba Ben Abdessalem Karaa, Nilanjan Dey
en Limba Engleză Hardback – 26 apr 2017
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.
Citește tot Restrânge

Preț: 78045 lei

Preț vechi: 114228 lei
-32% Nou

Puncte Express: 1171

Preț estimativ în valută:
14934 15771$ 12428£

Comandă specială

Livrare economică 23 decembrie 24 - 06 ianuarie 25

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781138031722
ISBN-10: 1138031720
Pagini: 241
Ilustrații: 135
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.59 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Cuprins

Mining Multimedia Documents: An Overview. Fuzzy Decision Trees for Text Document Clustering. Towards Modeling Semi-Automatic Data Warehouses: Guided by Social Interactions. Multi-Agent System for Text Mining. The transformation of User Requirements in UML Diagrams: An Overview. An Overview of Information Extraction using Textual Case-Based Reasoning. Opinions Classification. Documents Classification Based on Text and Image Features. Content-Based Image Retrieval (CBIR). Mining Knowledge in Medical Image Databases. Segmentation for Medical Image Mining. Biological Data Mining: Techniques and Applications. Video Text Extraction and Mining. Recent Advancement in Multimedia Content using Deep Learning.

Descriere

This book is a combination of two research fields: data mining and multimedia.  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, graduates, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economy.