Logo - springer
Slogan - springer

Computer Science - Database Management & Information Retrieval | International Journal of Data Science and Analytics

International Journal of Data Science and Analytics

International Journal of Data Science and Analytics

Editor-in-Chief: Longbing Cao

ISSN: 2364-415X (print version)
ISSN: 2364-4168 (electronic version)

Journal no. 41060

PB_Banner_A36835_Special_Issues_CfP_Banner_generic=PB_575x60px PB_Banner_A40567_Q22016_new_and_take_up_journals=PB_575x60px PB_Banner_A39778_BBanner_Change_the_World_2017=PB_575x60px
  • First scientific journal in data science and analytics science
  • Publishes original, fundamental and applied research outcomes in data and analytics theories, technologies and applications
  • Promotes new scientific and technological approaches to strategic value creation in data-rich applications
Data-driven scientific discovery is a key emerging paradigm driving research innovation and industrial development in domains such as business, social sci­ence, the Internet of Things, and cloud computing. The field encompasses the larger ar­eas of data analytics, machine learning, and managing big data, while related new sci­entific chal­lenges range from data capture, creation, storage, search, sharing, analysis, and vis­ualization, to integration across heterogeneous, interdependent complex resources for real-time decision-making, collaboration, and value creation. The journal welcomes experimental and theoretical findings on data science and advanced analytics along with their applications to real-life situations.

Related subjects » Artificial Intelligence - Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications

Abstracted/Indexed in 

Google Scholar, DBLP, EBSCO Discovery Service, OCLC, Summon by ProQuest

Read this Journal on Springerlink

For authors and editors

  • Aims and Scope

    Aims and Scope

    Close

    Data-driven scientific discovery has been established as an important emerging paradigm driving research innovation and practical development in domains such as business, social sci­ence, the Internet of Things, and cloud computing. The field encompasses the larger ar­eas of data analytics, machine learning, and managing big data, while related new sci­entific chal­lenges range from data capture, creation, storage, search, sharing, analysis, and vis­ualization, to integration across heterogeneous, interdependent complex resources for real-time decision-making, collaboration, and, ultimately, value creation.

     

    The International Journal of Data Science and Analytics brings together researchers, industry practitioners, and potential users of big data, to promote collaborations, exchange ideas and practices, discuss new opportunities, and investigate analytics frameworks. The jour­nal welcomes experimental and theoretical findings on data science and advanced analytics along with their applications to real-life situations. Comprehensive surveys and book reviews are also welcome.

     

    Topics of relevance include all aspects of the scientific foundations, techniques, and applica­tions of data and analytics, such as:

    ·     data and knowledge creation, discovery, processing, modelling, mapping, search, interopera­bility, exchange, integration, and visualization;

    ·     databases, indexing, and query processing;

    ·     data mining, machine learning, and deep learning;

    ·     cultural computing, behaviour informatics, social analytics, and text analytics;

    ·     business analytics, customer analytics, mobile analytics, Web/online analytics, and network an­alytics;

    ·     economic computing, financial analytics, and governmental analytics;

    ·     information retrieval and extraction;

    ·     cloud computing;

    ·     big data infrastructure and visualization;

    ·     scalable computing and high-performance computing for big data;

    ·     computational intelligence-based theories and methods;

    ·     privacy and security;

    ·     statistical and mathematical techniques;

    ·     ontologies and the Semantic Web;

    ·     security, trust, risk, and privacy;

    ·     scientific workflows;

    ·     computational devices and services;

    ·     large-scale optimization;

    ·     data characteristics and complexities;

    ·     bioinformatics, computational biology, health and medical analytics

     

  • Submit Online
  • Open Choice - Your Way to Open Access
  • Instructions for Authors

    Instructions for Authors

    Close

  • Call for Papers (Special Issues)

    Journal of Data Science and Analytics: Call for Papers

    Close

  • Copyright Information

    Copyright Information

    Close

    Copyright Information

    For Authors

    Submission of a manuscript implies: that the work described has not been published before (except in form of an abstract or as part of a published lecture, review or thesis); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors, if any, as well as – tacitly or explicitly – by the responsible authorities at the institution where the work was carried out.

    Author warrants (i) that he/she is the sole owner or has been authorized by any additional copyright owner to assign the right, (ii) that the article does not infringe any third party rights and no license from or payments to a third party is required to publish the article and (iii) that the article has not been previously published or licensed. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. Transfer of copyright to Springer (respective to owner if other than Springer) becomes effective if and when a Copyright Transfer Statement is signed or transferred electronically by the corresponding author. After submission of the Copyright Transfer Statement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted by Springer.

    The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is assigned for good and valuable consideration to Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

    The copyright assignment includes without limitation the exclusive, assignable and sublicensable right, unlimited in time and territory, to reproduce, publish, distribute, transmit, make available and store the article, including abstracts thereof, in all forms of media of expression now known or developed in the future, including pre- and reprints, translations, photographic reproductions and microform. Springer may use the article in whole or in part in electronic form, such as use in databases or data networks for display, print or download to stationary or portable devices. This includes interactive and multimedia use and the right to alter the article to the extent necessary for such use.

    Authors may self-archive the Author’s accepted manuscript of their articles on their own websites. Authors may also deposit this version of the article in any repository, provided it is only made publicly available 12 months after official publication or later. He/she may not use the publisher's version (the final article), which is posted on SpringerLink and other Springer websites, for the purpose of self-archiving or deposit. Furthermore, the Author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com”.

    Prior versions of the article published on non-commercial pre-print servers like arXiv.org can remain on these servers and/or can be updated with Author's accepted version. The final published version (in pdf or html/xml format) cannot be used for this purpose. Acknowledgement needs to be given to the final publication and a link must be inserted to the published article on Springer's website, accompanied by the text "The final publication is available at link.springer.com". Author retains the right to use his/her article for his/her further scientific career by including the final published journal article in other publications such as dissertations and postdoctoral qualifications provided acknowledgement is given to the original source of publication.

    Author is requested to use the appropriate DOI for the article. Articles disseminated via link.springer.com are indexed, abstracted and referenced by many abstracting and information services, bibliographic networks, subscription agencies, library networks, and consortia.

    For Readers

    While the advice and information in this journal is believed to be true and accurate at the date of its publication, neither the authors, the editors, nor the publisher can accept any legal responsibility for any errors or omissions that may have been made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

    All articles published in this journal are protected by copyright, which covers the exclusive rights to reproduce and distribute the article (e.g., as offprints), as well as all translation rights. No material published in this journal may be reproduced photographically or stored on microfilm, in electronic data bases, video disks, etc., without first obtaining written permission from the publisher (respective the copyright owner if other than Springer). The use of general descriptive names, trade names, trademarks, etc., in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

    Springer has partnered with Copyright Clearance Center’s RightsLink service to offer a variety of options for reusing Springer content. For permission to reuse our content please locate the material that you wish to use on link.springer.com or on springerimages.com and click on the permissions link or go to copyright.com, then enter the title of the publication that you wish to use. For assistance in placing a permission request, Copyright Clearance Center can be connected directly via phone: +1-855-239-3415, fax: +1-978-646-8600, or e-mail: info@copyright.com.

    © Springer International Publishing Switzerland 2016

Alerts for this journal

 

Get the table of contents of every new issue published in International Journal of Data Science and Analytics.