Computational Discovery of Scientific Knowledge : Introduction, Techniques, and Applications in Environmental and Life Sciences / edited by Saso Dzeroski, Ljupco Todorovski.

Format:

Book

Contributor:

Džeroski, Sašo, 1968- editor.

Todorovski, Ljupčo, 1969- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4660.

Lecture Notes in Artificial Intelligence ; 4660

Language:

English

Subjects (All):

Library science.

Artificial intelligence.

Data mining.

Database management.

Information storage and retrieval.

Pattern perception.

Library Science.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Database Management.

Information Storage and Retrieval.

Pattern Recognition.

Local Subjects:

Library Science.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Database Management.

Information Storage and Retrieval.

Pattern Recognition.

Physical Description:

1 online resource (X, 327 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

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 techniques must be applied to find the useful information in the data. Computational scientific discovery methods can be used to this end: they focus on applying computational methods to automate scientific activities, such as finding laws from observational data. In contrast to mining scientific data, which focuses on building highly predictive models, computational scientific discovery puts a strong emphasis on discovering knowledge represented in formalisms used by scientists and engineers, such as numeric equations and reaction pathways. 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.

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.

Other Format:

Printed edition:

ISBN:

978-3-540-73920-3

9783540739203

Access Restriction:

Restricted for use by site license.