Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences (Lecture Notes in Computer Science, nr. 4660)
Editat de Saso Dzeroski, Ljupco Todorovskien Limba Engleză Paperback – 07 Aug 2007
This state-of-the-art survey provides an introduction to computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences. The 15 articles presented are partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001. More representative coverage of recent research in computational scientific discovery is achieved by a significant number of additional invited contributions.
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Specificații
ISBN-13: 9783540739197
ISBN-10: 354073919X
Pagini: 344
Ilustrații: 1
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.52 kg
Ediția: 2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science , Lecture Notes in Artificial Intelligence
Locul publicării: Berlin, Heidelberg, Germany
ISBN-10: 354073919X
Pagini: 344
Ilustrații: 1
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.52 kg
Ediția: 2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science , Lecture Notes in Artificial Intelligence
Locul publicării: Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Computational
Discovery
of
Scientific
Knowledge.-
Computational
Discovery
of
Scientific
Knowledge.-
I
Equation
Discovery
and
Dynamic
Systems
Identification.-
Communicable
Knowledge
in
Automated
System
Identification.-
Incorporating
Engineering
Formalisms
into
Automated
Model
Builders.-
Integrating
Domain
Knowledge
in
Equation
Discovery.-
Communicability
Criteria
of
Law
Equations
Discovery.-
Quantitative
Revision
of
Scientific
Models.-
Discovering
Communicable
Models
from
Earth
Science
Data.-
Structure
Discovery
from
Massive
Spatial
Data
Sets
Using
Intelligent
Simulation
Tools.-
Computational
Discovery
in
Pure
Mathematics.-
II
Computational
Scientific
Discovery
in
Biomedicine.-
Automatic
Computational
Discovery
of
Chemical
Reaction
Networks
Using
Genetic
Programming.-
Discovery
of
Genetic
Networks
Through
Abduction
and
Qualitative
Simulation.-
Learning
Qualitative
Models
of
Physical
and
Biological
Systems.-
Logic
and
the
Automatic
Acquisition
of
Scientific
Knowledge:
An
Application
to
Functional
Genomics.-
Drug
Discovery
as
an
Example
of
Literature-Based
Discovery.-
Literature
Based
Discovery
Support
System
and
Its
Application
to
Disease
Gene
Identification.