Special Issue "Big Data Analytics and Computational Intelligence"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: 20 November 2019

Special Issue Editors

Guest Editor
Prof. Dr. Ajith Abraham

Machine Intelligence Research Labs (MIR Labs), 3rd Street NW
P.O. Box 2259
Auburn, WA 98071, USA

Website | E-Mail
Interests: artificial intelligence; data mining; big data analytics
Guest Editor
Prof. Dr. Pedro Isaias

UQ Business School, University of Queensland, Brisbane, Queensland, QLD 4072, Australia
Website | E-Mail
Interests: data mining; big data analytics

Special Issue Information

Dear Colleagues,

The 4th International Conference on Big Data Analytics, Data Mining, and Computational Intelligence 2019 (BigDaCI’19) will be held in Porto, Portugal during 16–18 July 2019. The BigDaCI’19 conference is expected to provide an opportunity for researchers to meet and discuss the latest solutions, scientific results, and methods regarding solving intriguing problems in the fields of big data analytics, intelligent agents, and computational intelligence and their applications in science, technology, business, and commerce. For more detail, please check http://www.bigdaci.org/call-for-papers/

The scope and topics of interest of the Special Issue papers follow those BigDaCI’19 and are listed below:

  • Big data algorithms and architectures;
  • Computational intelligent frameworks for big data processing;
  • Data mining topics and applications.

The authors of a number of selected full papers of high quality will be invited after the conference to submit revised and extended versions of their originally accepted conference papers to this Special Issue of Information published by MDPI in open access. The selection of these best papers will be based on their ratings in the conference review process, the quality of their presentation during the conference, and the impact they will be expected to have on the research community.

The conference paper should be cited and noted on the first page of the paper; authors are asked to disclose that it is a conference paper in their cover letter and include a statement on what has been changed compared to the original conference paper. Submitted papers should be extended to the size of regular research or review articles, with 50% extension of new results. All submitted papers will undergo our standard peer-review procedure.

Accepted papers will be published in open-access format in Information and collected together in this Special Issue website. We would like to publish the extended best papers of the conference with Article Processing Fees waived. The deadline for submission to this Special Issue is 20 November 2019.

Please prepare and format your paper according to the Instructions for Authors. Use the LaTeX or Microsoft Word template file of the journal (both are available from the Instructions for Authors page). Manuscripts should be submitted online via our susy.mdpi.com editorial system.

Prof. Dr. Ajith Abraham
Prof. Dr. Pedro Isaias
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle Data Consistency Theory and Case Study for Scientific Big Data
Information 2019, 10(4), 137; https://doi.org/10.3390/info10040137
Received: 21 March 2019 / Revised: 3 April 2019 / Accepted: 8 April 2019 / Published: 12 April 2019
PDF Full-text (623 KB) | HTML Full-text | XML Full-text
Abstract
Big data technique is a series of novel technologies to deal with large amounts of data from various sources. Unfortunately, it is inevitable that the data from different sources conflict with each other from the aspects of format, semantics, and value. To solve [...] Read more.
Big data technique is a series of novel technologies to deal with large amounts of data from various sources. Unfortunately, it is inevitable that the data from different sources conflict with each other from the aspects of format, semantics, and value. To solve the problem of conflicts, the paper proposes data consistency theory for scientific big data, including the basic concepts, properties, and quantitative evaluation method. Data consistency can be divided into different grades as complete consistency, strong consistency, weak consistency, and conditional consistency according to consistency degree and application demand. The case study is executed on material creep testing data. The analysis results show that the theory can solve the problem of conflicts in scientific big data. Full article
(This article belongs to the Special Issue Big Data Analytics and Computational Intelligence)
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