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DATA STREAMS TRACK 2017 : DATA STREAMS TRACK - ACM SAC 2017

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Link: http://www.cs.waikato.ac.nz/~abifet/SAC2017/
 
When Apr 3, 2017 - Apr 7, 2017
Where Marrakech, Morocco
Submission Deadline Sep 15, 2016
Notification Due Nov 10, 2016
Final Version Due Nov 25, 2016
Categories    data streams   data mining   machine learning   temporal data
 

Call For Papers

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We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning.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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