TY  - BOOK
AU  - Jiang,He
AU  - Ding,Wei
AU  - Ali,Moonis
AU  - Wu,Xindong
ED  - SpringerLink (Online service)
TI  - Advanced Research in Applied Artificial Intelligence: 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783642310874
AV  - Q334-342 
U1  - 006.3 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer Communication Networks
KW  - Computer software
KW  - Database management
KW  - Information storage and retrieval systems
KW  - Artificial intelligence
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Information Systems Applications (incl. Internet)
KW  - Algorithm Analysis and Problem Complexity
KW  - Information Storage and Retrieval
KW  - Database Management
N2  - This volume constitutes the thoroughly refereed conference proceedings of the 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2012, held in Dalian, China, in June 2012. The total of 82 papers selected for the proceedings were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on machine learning methods; cyber-physical system for intelligent transportation applications; AI applications; evolutionary algorithms, combinatorial optimization; modeling and support of cognitive and affective human processes; natural language processing and its applications; social network and its applications; mission-critical applications and case studies of intelligent systems; AI methods; sentiment analysis for asian languages; aspects on cognitive computing and intelligent interaction; spatio-temporal datamining, structured learning and their applications; decision making and knowledge based systems; pattern recognition; agent based systems; decision making techniques and innovative knowledge management; machine learning applications
UR  - http://dx.doi.org/10.1007/978-3-642-31087-4
ER  -