Computational Discovery of Scientific Knowledge Introduction, Techniques, and Applications in Environmental and Life Sciences /
Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniq...
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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Series: | Lecture Notes in Computer Science,
4660 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.