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DS-SAC 2018 : DATA STREAMS TRACK - ACM SAC 2018

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Link: http://www.cs.waikato.ac.nz/~abifet/SAC2018/
 
When Apr 9, 2018 - Apr 13, 2018
Where Pau, France
Submission Deadline Sep 15, 2017
Notification Due Nov 10, 2017
Final Version Due Nov 25, 2017
Categories    real-time analytics   big data   data streams   large scale machine learning
 

Call For Papers



*ACM Symposium on Applied Computing *

The 33rd Annual ACM Symposium on Applied Computing in Pau, France

April 9 – 13, 2018

https://www.sigapp.org/sac/sac2018/


*Data Streams Track *

http://www.cs.waikato.ac.nz/~abifet/SAC2018/




*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We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning.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, 2017

2. Author Notification: November 10, 2017

3. Camera‐ready copies: November 25, 2017



*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 2018 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 2018 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 2018 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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