Data Science and Engineering (Запис № 454244)

МАРК-запис
000 -LEADER
fixed length control field 04403nas a22003855i 4500
001 - CONTROL NUMBER
control field 2364-1541
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200701150259.0
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 2364-1541
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 41019
Source of number or code local
210 10 - ABBREVIATED TITLE
Abbreviated title Data Sci. Eng.
245 10 - TITLE STATEMENT
Title Data Science and Engineering
Medium [electronic resource] /
Statement of responsibility, etc edited by Elisa Bertino, X. Sean Wang, Bin Cui, Timos Sellis.
264 #1 -
-- Berlin/Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc The journal of Data Science and Engineering (DSE) responds to the remarkable change in the focus of information technology development from CPU-intensive computation to data-intensive computation, where the effective application of data, especially big data, becomes vital. The emerging discipline data science and engineering, an interdisciplinary field integrating theories and methods from computer science, statistics, information science, and other fields, focuses on the foundations and engineering of efficient and effective techniques and systems for data collection and management, for data integration and correlation, for information and knowledge extraction from massive data sets, and for data use in different application domains. Focusing on the theoretical background and advanced engineering approaches, DSE aims to offer a prime forum for researchers, professionals, and industrial practitioners to share their knowledge in this rapidly growing area. It provides in-depth coverage of the latest advances in the closely related fields of data science and data engineering. More specifically, DSE covers four areas: (i) the data itself, i.e., the nature and quality of the data, especially big data; (ii) the principles of information extraction from data, especially big data; (iii) the theory behind data-intensive computing; and (iv) the techniques and systems used to analyze and manage big data. DSE welcomes papers that explore the above subjects. Specific topics include, but are not limited to: (a) the nature and quality of data, (b) the computational complexity of data-intensive computing, (c) new methods for the design and analysis of the algorithms for solving problems with big data input, (d) collection and integration of data collected from internet and sensing devises or sensor networks, (e) representation, modeling, and visualization of  big data, (f)  storage, transmission, and management of big data, (g) methods and algorithms of  data intensive computing, such as mining big data, online analysis processing of big data, big data-based machine learning, big data based decision-making, statistical computation of big data, graph-theoretic computation of big data, linear algebraic computation of big data, and   big data-based optimization. (h) hardware systems and software systems for data-intensive computing, (i) data security, privacy, and trust, and (j) novel applications of big data.  .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management.
-- http://scigraph.springernature.com/things/product-market-codes/I18024
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
-- http://scigraph.springernature.com/things/product-market-codes/I18030
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
-- http://scigraph.springernature.com/things/product-market-codes/I16021
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems and Data Security.
-- http://scigraph.springernature.com/things/product-market-codes/I28060
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
-- http://scigraph.springernature.com/things/product-market-codes/I21000
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17020
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bertino, Elisa.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, X. Sean.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cui, Bin.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sellis, Timos.
Relator term editor.
Relator code 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)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed version:
International Standard Serial Number 2364-1185
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://link.springer.com/journal/41019">http://link.springer.com/journal/41019</a>
Public note Open Access

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