Data Science and Engineering (Record no. 189677)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 2364-1541
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20180511105620.0
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, Xiaoyang Wang.
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.
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 entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer security.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithm Analysis and Problem Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Systems and Data Security.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bertino, Elisa.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Xiaoyang.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information 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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