TY  - BOOK
AU  - Cai,Yang
ED  - SpringerLink (Online service)
TI  - Ambient Intelligence for Scientific Discovery: Foundations, Theories, and Systems 
T2  - Lecture Notes in Computer Science,
SN  - 9783540322634
AV  - Q334-342 
U1  - 006.3 23
PY  - 2005///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer communication systems
KW  - Database management
KW  - User interfaces (Computer systems)
KW  - Artificial intelligence
KW  - Computer graphics
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Information Systems Applications (incl. Internet)
KW  - User Interfaces and Human Computer Interaction
KW  - Database Management
KW  - Computer Graphics
KW  - Computer Communication Networks
KW  - Electronic books
KW  - local
N1  - New Paradigms in Scientific Discovery -- Science at the Speed of Thought -- Computational Biology and Language -- Interactive Comprehensible Data Mining -- Scientific Discovery Within Data Streams -- Ambient Cognition -- Shape as Memory Storage -- Spatial Cues in 3D Visualization -- Textual Genre Analysis and Identification -- Cognitive Artifacts in Complex Work -- Ambient Intelligence Systems -- Multi-modal Interaction in Biomedicine -- Continuous Body Monitoring -- Ambient Diagnostics -- Wireless Local Area Network Positioning -- Behavior-Based Indoor Navigation -- Ambient Intelligence Through Agile Agents
N2  - Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions. Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources. Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/b105582
ER  -