Advanced Machine Learning Technologies and Applications [electronic resource] : Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings / edited by Aboul Ella Hassanien, Mohamed F. Tolba, Ahmad Taher Azar.
Series: Communications in Computer and Information Science ; 488Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XVI, 542 p. 198 illus. online resourceContent type:- text
- computer
- online resource
- 9783319134611
- Computer science
- Data mining
- Information storage and retrieval
- Artificial intelligence
- Text processing (Computer science)
- Pattern recognition
- Computer Science
- Artificial Intelligence (incl. Robotics)
- Data Mining and Knowledge Discovery
- Information Systems Applications (incl. Internet)
- Pattern Recognition
- Information Storage and Retrieval
- Document Preparation and Text Processing
- 006.3 23
- Q334-342
- TJ210.2-211.495

Machine learning in Arabic text recognition and assistive technology -- Recommendation systems for cloud services.- Machine learning in watermarking/authentication and virtual machines -- Features extraction and classification -- Rough/fuzzy sets and applications -- Fuzzy multi-criteria decision making -- Web-based application and case-based reasoning construction -- Social networks and big data sets.
This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. The 49 full papers presented were carefully reviewed and selected from 101 initial submissions. The papers are organized in topical sections on machine learning in Arabic text recognition and assistive technology; recommendation systems for cloud services; machine learning in watermarking/authentication and virtual machines; features extraction and classification; rough/fuzzy sets and applications; fuzzy multi-criteria decision making; Web-based application and case-based reasoning construction; social networks and big data sets.