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DS - ACM SAC 2014 : CFP: DATA STREAMS TRACK - ACM SAC 2014

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Link: http://www.cs.waikato.ac.nz/~abifet/SAC2014/
 
When Mar 24, 2014 - Mar 28, 2014
Where Gyeongju, Korea
Submission Deadline Sep 13, 2013
Notification Due Nov 15, 2013
Final Version Due Dec 6, 2013
Categories    data streams   temporal data mining   machine learning
 

Call For Papers

========================================================================
ACM SAC 2014
The 29th Annual ACM Symposium on Applied Computing
in Gyeongju, Korea, March 24 - 28,2014.
http://www.acm.org/conferences/sac/sac2014/

DATA STREAMS TRACK
http://www.cs.waikato.ac.nz/~abifet/SAC2014/
========================================================================

CALL FOR PAPERS

The rapid development in 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 sensor networks, wireless
networks, radio frequency identification (RFID), 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We are looking for original, unpublished work related to algorithms,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 data streams. Topics include (but are not
restricted) to:

- Data Stream Models
- 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

IMPORTANT DATES (strict)
1. Paper Submission: September 13, 2013
2. Author Notification: November 15, 2013
3. Camera‚Äźready copies: December 6, 2013


PAPER SUBMISSION GUIDELINES
Papers should be submitted in PDF using the SAC 2014 conference
management system: http://www.softconf.com/d/sac2014/. 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

For accepted papers, registration for the conference is required
and allows the paper to be printed in the conference proceedings.
An author or a proxy attending SAC MUST present the paper. This is
a requirement for the paper to be included in the ACM/IEEE digital
library. No-show of scheduled papers will result in excluding the
papers 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 2014 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 2014 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
https://www.softconf.com/d/sac-src2014

If you encounter any problems with your submission, please contact the
Program Coordinator.

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