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Computational Discovery of Scientific Knowledge (Record no. 92515)

000 -LEADER
fixed length control field 05075nam a22006255i 4500
001 - CONTROL NUMBER
control field 978-3-540-73920-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730184835.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2007 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540739203
-- 978-3-540-73920-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-540-73920-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Z664.2-718.85
072 #7 - SUBJECT CATEGORY CODE
Subject category code GL
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code LAN025000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code GL
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 020
Edition number 23
245 10 - TITLE STATEMENT
Title Computational Discovery of Scientific Knowledge
Medium [electronic resource] :
Remainder of title Introduction, Techniques, and Applications in Environmental and Life Sciences /
Statement of responsibility, etc. edited by Saso Dzeroski, Ljupco Todorovski.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2007.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2007.
300 ## - PHYSICAL DESCRIPTION
Extent X, 327 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 4660
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Library science.
9 (RLIN) 136937
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 3907
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management.
9 (RLIN) 3157
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information storage and retrieval systems.
9 (RLIN) 22213
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
9 (RLIN) 3953
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Library Science.
9 (RLIN) 136938
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
9 (RLIN) 136939
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database Management.
9 (RLIN) 3157
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information Storage and Retrieval.
9 (RLIN) 23927
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automated Pattern Recognition.
9 (RLIN) 31568
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dzeroski, Saso.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 136940
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Todorovski, Ljupco.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 136941
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 136942
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783540739197
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783540841609
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 4660
9 (RLIN) 136943
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-540-73920-3">https://doi.org/10.1007/978-3-540-73920-3</a>
912 ## -
-- ZDB-2-SCS
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-- ZDB-2-SXCS
912 ## -
-- ZDB-2-LNC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.