• CFP: DATA STREAMS TRACK - ACM SAC 2017

    From Carlos Ferreira@21:1/5 to All on Mon Jul 4 11:21:30 2016
    ACM Symposium on Applied Computing
    The 31th Annual ACM Symposium on Applied Computing in Marrakech, Morocco, April 3 – 7, 2017.
    http://www.acm.org/conferences/sac/sac2017/
    Data Streams Track
    http://www.cs.waikato.ac.nz/~abifet/SAC2017/


    Call for Papers
    The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include
    the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data,
    sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data
    are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.

    TOPICS OF INTEREST
    We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:

    Real-Time Analytics
    Big Data Mining
    Data Stream Models
    Large Scale Machine Learning
    Languages for Stream Query
    Continuous Queries
    Clustering from Data Streams
    Decision Trees from Data Streams
    Association Rules from Data Streams
    Decision Rules from Data Streams
    Bayesian networks from Data Streams
    Feature Selection from Data Streams
    Visualization Techniques for Data Streams
    Incremental on-line Learning Algorithms
    Single-Pass Algorithms
    Temporal, spatial, and spatio-temporal data mining
    Scalable Algorithms
    Real-Time and Real-World Applications using Stream data
    Distributed and Social Stream Mining
    Urban Computing, Smart Cities
    Internet of Things (IoT)

    IMPORTANT DATES (strict)
    1. Paper Submission: September 15, 2016
    2. Author Notification: November 10, 2016
    3. Camera‐ready copies: November 25, 2016


    PAPER SUBMISSION GUIDELINES

    Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-
    column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and
    address(s) must NOT appear in the body of the submitted paper, and self-references
    should be in the third person. This is to facilitate double blind review required by
    ACM. All submitted papers must include the paper identification number provided by
    the eCMS system when the paper is first registered. The number must appear on the
    front page, above the title of the paper. Each submitted paper will be fully refereed
    and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper
    format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html

    Important notice:

    1. Please submit your contribution via SAC 2017 Webpage.
    2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital
    library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.

    Student Research Competition
    Graduate students seeking feedback from the scientific community on their research
    ideas are invited to submit original abstracts of their research work in areas of
    experimental computing and application development related to SAC 2017 Tracks. The SRC program is designed to provide graduate students the opportunity to meet
    and exchange ideas with researcher and practitioners in their areas of interest. All
    research abstract submissions will be reviewed by researchers and practitioners with
    expertise in the track focus area to which they are submitted. Authors of selected
    abstracts will have the opportunity to give poster and oral presentations of their
    work and compete for three top wining places. The SRC committee will evaluate and
    select First, Second, and Third place winners. The winners will receive cash awards
    and SIGAPP recognition certificates during the conference banquet dinner. Authors of
    selected abstracts are eligible to apply to the SIGAPP Student Travel Award program
    for support.

    Graduate students are invited to submit research abstracts (minimum of two pages;
    maximum of four pages) following the instructions published at SAC 2017 website.
    Submission of the same abstract to multiple tracks is not allowed. Submissions must
    address original and unpublished research work related to a SAC track, with emphasis on the innovation behind the research idea. The submission should address
    the research problem being investigated, the proposed approach and research methodology, and sample preliminary results of the work. In addition, the abstract
    should reflect on the originality of the work, innovation of the approach, and applicability of the results to real-world problems. All abstracts must be submitted
    thought the START Submission system.
    If you encounter any problems with your submission, please contact the Program Coordinator.

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