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                           CALL  FOR  PAPERS
         EXTENDED Paper Submission Deadline: October 24, 2018
                     (11:59pm US Eastern Time Zone)

        The International Symposium on Big Data and Data Science
                              (CSCI-ISBD)

       https://americancse.org/events/csci2018/Symposiums/csci_isbd
                 December 13-15, 2018, Las Vegas, USA

                    Most Recent IEEE Xplore entry:
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7879541

All accepted papers will be published in the proceedings of the 2018
International Conference on Computational Science and Computational
Intelligence (CSCI: https://americancse.org/events/csci2018 )

PUBLISHER:

    IEEE CPS: https://www.computer.org/web/cs-cps/

    Past conference proceedings can be accessed via IEEE Xplore Digital
    Library at:
    Volume I (2014): 
https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6822065
    Volume II (2014): 
https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6822285
    Volume (2015): 
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7420813
    Volume (2016): 
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7879541
    Volume (2017):    Pending/soon (within days)


INVITATION:

    You are invited to submit a paper for consideration. All accepted papers
    will be published by IEEE CPS (refer to ieeexplore.ieee.org for previous
    years' IEEE Xplore inclusion) in the proceedings of The 2018 
International
    Conference on Computational Science and Computational Intelligence 
(CSCI).
    Extended versions of selected papers of the conference will also appear
    in journals and edited research books (Springer, Elsevier, BMC, ...) The
    published proceedings can be accessed via IEEE CPS and other Digital
    libraries.

SCOPE AND LIST OF TOPICS:

    Algorithms for Big Data:
    Data and Information Fusion; Algorithms (including Scalable methods);
    Natural Language Processing; Signal Processing; Simulation and Modeling;
    Data-Intensive Computing; Parallel Algorithms; Testing Methods;
    Multidimensional Big Data; Multi-linear Subspace Learning; Sampling
    Methodologies; and Streaming.

    Big Data Fundamentals:
    Novel Computational Methodologies; Algorithms for Enhancing Data 
Quality;
    Models and Frameworks for Big Data; Graph Algorithms and Big Data;
    Computational Science; and Computational Intelligence.

    Data Science:
    Conversion of Data to Information; Conversion of Data to Knowledge;
    Data Mining; Information Mining; Predictive Analytics; Knowledge
    Discovery; Cloud Computing; Databases and Information Integration;
    Signal Processing; Natural Language Processing; Information Retrieval
    Methods; and Information Visualization.

    Infrastructures for Big Data & Data Science:
    Cloud Based Infrastructures (applications, storage & computing 
resources);
    Grid and Stream Computing for Big Data; High Performance Computing,
    Including Parallel & Distributed Processing; Autonomic Computing;
    Cyber-infrastructures and System Architectures; Programming Models and
    Environments to Support Big Data; Software and Tools for Big Data; Big
    Data Open Platforms; Emerging Architectural Frameworks for Big Data;
    Paradigms and Models for Big Data beyond Hadoop/MapReduce, ...

    Big Data & Data Science Management and Frameworks:
    Database and Web Applications; Federated Database Systems; Distributed
    Database Systems; Distributed File Systems; Distributed Storage Systems;
    Knowledge Management and Engineering; Massively Parallel Processing
    (MPP) Databases; Novel Data Models; Data Preservation and Provenance;
    Data Protection Methods; Data Integrity and Privacy Standards and
    Policies; Novel Data Management Methods; Crowdsourcing; Stream Data
    Management; and Scientific Data Management.

    Big Data Search:
    Multimedia and Big Data; Social Networks; Web Search and Information
    Extraction; Scalable Search Architectures; Cleaning Big Data (noise
    reduction), Acquisition & Integration; Visualization Methods for
    Search; Time Series Analysis; Recommendation Systems; and Graph Based
    Search and Similar Technologies.

    Security & Privacy in the Era of Data Science & Big Data:
    Cryptography; Threat Detection Using Big Data Analytics; Privacy
    Threats of Big Data; Privacy Preserving Big Data Collection; Intrusion
    Detection; Socio-economical Aspect of Big Data in the Context of
    Privacy and Security.

    Applications of Big Data:
    Big Data as a Service; Big Data Analytics in e-Government and Society;
    Applications in Science, Engineering, Healthcare, Visualization,
    Business, Education, Security, Humanities, Bioinformatics, Health
    Informatics, Medicine, Finance, Law, Transportation, Retailing,
    Telecommunication, all Search-based applications, ...


INSTRUCTIONS FOR SUBMISSION OF PAPERS FOR EVALUATION:

    All accepted papers will be published by IEEE CPS:
    https://www.computer.org/web/cs-cps/
    in the proceedings of The 2018 International Conference on
    Computational Science and Computational Intelligence (CSCI'18).

    Past CSCI proceedings are indexed into IEEE Xplore Digital Library
    and can be accessed via:
    Volume I (2014): 
https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6822065
    Volume II (2014): 
https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6822285
    Volume (2015): 
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7420813
    Volume (2016): 
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7879541
    Volume (2017):    Pending/soon (within days)

    Papers should be typeset by using the general typesetting
    instructions available at:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html
    (i.e., use of regular Times New Roman, font size of 10, single line
    spacing, 2-column format). Authors of accepted papers will later
    receive more specific typesetting instructions. All submissions must
    be original (papers must not have been previously published or
    currently being considered by others for publication).

    Submissions must be in either MS doc or pdf formats (6 pages for
    Regular Research Papers; 4 pages for Short Papers; 2 pages for
    Poster Papers - the number of pages include all figures, tables, and
    references). The first page should include:

    - Title of the paper.
    - Name, affiliation, city, country, and email address of each author
      (identify the name of the Contact Author).
    - Abstract (about 100 words).
    - A maximum of 5 topical keywords that would best represent the work
      described in the paper (see the list of topics).
    - Write the type of the submission as "Full/Regular Research Papers",
      "Short Papers", or "Poster Papers".
    - Write "CSCI-ISBD"

    The actual paper can start from the first page (space permitting).
    Submissions are to be uploaded to the submission/evaluation web site
    portal at: https://american-cse.org/


TYPE OF SUBMISSIONS/PAPERS:

   - Full/Regular Research Papers (maximum of 6 pages):
     Regular Research Papers should provide detail original research
     contributions. They must report new research results that represent
     a contribution to the field; sufficient details and support for
     the results and conclusions should also be provided. The work
     presented in regular papers are expected to be at a stage of
     maturity that with some additional work can be published as journal
     papers.

   - Short Papers (maximum of 4 pages):
     Short papers report on ongoing research projects. They should provide
     overall research methodologies with some results. The work presented
     in short papers are expected to be at a stage of maturity that with
     some additional work can be published as regular papers.

   - Poster Papers (maximum of 2 pages):
     Poster papers report on ongoing research projects that are still in
     their infancy (i.e., at very early stages). Such papers tend to
     provide research methodologies without yet concrete results.


REVIEW PROCESS

    Each paper will be peer-reviewed by 2 to 4 peers (except for papers that
    are philosophical in nature - such papers would be considered for panel
    discussions.) Confidentiality of submitted material will be maintained.
    Papers will be evaluated on the basis of originality, impact, 
significance,
    quality of research, quality of writing, and contribution to conference
    program and diversity. Papers whose authors include one or more members
    of the program committee will be evaluated using the double-blinded
    review process. Authors whose papers are not selected for publication
    can submit a rebuttal letter; rebuttals will be evaluated by 4 members
    of the Program Committee.

DEADLINES - DATES:

    October 24, 2018:     Extended Submission of Papers
                          (11:59pm US Eastern Time Zone)
                          Paper submission portal (for evaluation):
                          https://american-cse.org/
                          Note that authors who have submitted papers in 
response
                          to the earlier "Call For Papers" will receive 
decisions
                          and status reports by the original announced date.
    November 1, 2018:     Notification of acceptance (+/- 2 days)
    November 8, 2018:     Final papers & Author Registrations
    December 13-15, 2018: The International Symposium on Big Data and 
Data Science
                          (CSCI-ISBD)
https://americancse.org/events/csci2018/Symposiums/csci_isbd
                          CSCI-ISBD will be held in conjunction with other
                          affiliated research events; for more 
information, see
                          https://americancse.org/events/csci2018

CONTACT:

    Questions and inquiries should be sent to:
    Conference Secretariat: [log in to unmask]

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