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Data-Enabled Discovery and Applications (Record no. 4282)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 2510-1161
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082531.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2510-1161
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 41688
Source of number or code local
210 10 - ABBREVIATED TITLE
Abbreviated title Data-Enabled Discov. Appl.
245 10 - TITLE STATEMENT
Title Data-Enabled Discovery and Applications
Medium [electronic resource] /
Statement of responsibility, etc. edited by Alan A. Barhorst, Gang Qi.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. Data-Enabled Discovery and Applications is now closed for submissions. Springer will continue to host an archive of all articles published in Data-Enabled Discovery and Applications  and it will remain fully searchable via the Springer website. Please consider submitting to the topical collection of same name as part of the journal SN Applied Sciences. (https://www.springer.com/journal/42452/updates/18212646) This journal creates new avenues of dissemination for researchers using the increased availability of extensive data sets to quantitatively model real-world systems, and seek new discoveries, innovations and applications, often across the boundaries of traditional disciplines. Especially sought are contributions investigating novel research strategies so as to enable scientific discoveries, engineering innovations, or advances in medical diagnosis, prognosis, and treatment. Data-Enabled Discovery and Applications establishes a forum to share methods and best practices–in particular from fields involving large data harvesting such as computational science, engineering and biomedicine–for uncovering patterns and associations embedded in the data. It further provides a common platform for the publication of tools, measurements, and methodologies for investigating large data sets relevant for specific applicability to widely varying fields of endeavor. Papers in this journal will typically maintain a balance between general solution techniques and problem-specific results, promote challenges to traditional solutions, and foster a fruitful exchange of ideas among disparate fields. The journal will not be concerned with the information technological aspects of the underlying datasets, i.e. the study of efficient and effective techniques and systems for data collection, management and mining. The journal will also not be a venue for discipline-specific discussion. Authors are expected to present results in a manner that highlights the data-centric tools created or cross-utilized to solve discipline-specific problems. Suggestions for broader applications of their work should also be provided.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical physics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical informatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biotechnology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Quantitative research.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theoretical, Mathematical and Computational Physics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Modelling.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Health Informatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biotechnology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Analysis and Big Data.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Barhorst, Alan A.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Qi, Gang.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://link.springer.com/journal/41688">http://link.springer.com/journal/41688</a>
Public note Hybrid

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