TY  - BOOK
AU  - Hassanien,Aboul Ella
AU  - Tolba,Mohamed F.
AU  - Taher Azar,Ahmad
ED  - SpringerLink (Online service)
TI  - Advanced Machine Learning Technologies and Applications: Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings 
T2  - Communications in Computer and Information Science,
SN  - 9783319134611
AV  - Q334-342 
U1  - 006.3 23
PY  - 2014///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Data mining
KW  - Information storage and retrieval systems
KW  - Artificial intelligence
KW  - Text processing (Computer science
KW  - Optical pattern recognition
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Data Mining and Knowledge Discovery
KW  - Information Systems Applications (incl. Internet)
KW  - Pattern Recognition
KW  - Information Storage and Retrieval
KW  - Document Preparation and Text Processing
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-13461-1
ER  -