posted by user: cferreira || 758 views || tracked by 2 users: [display]

DS-ACM SAC 2019 : DATA STREAMS TRACK - ACM SAC 2019

FacebookTwitterLinkedInGoogle

Link: https://www.cs.waikato.ac.nz/~abifet/SAC2019/
 
When Apr 8, 2019 - Apr 12, 2019
Where Limassol, Cyprus
Submission Deadline Sep 24, 2018
Notification Due Nov 24, 2018
Final Version Due Dec 10, 2018
Categories    data streams   big data   clustering   recurrent neural networks
 

Call For Papers




*ACM Symposium on Applied Computing *

The 34th ACM/SIGAPP Symposium on Applied Computing in Limassol, Cyprus

April 8 – 12, 2019

https://www.sigapp.org/sac/sac2019/


*Data Streams Track *

https://www.cs.waikato.ac.nz/~abifet/SAC2019/




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We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning.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

* Neural Networks for 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 24, 2018

2. Author Notification: November 24, 2018

3. Camera‐ready copies: December 10, 2018



*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 2019 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.


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


Related Resources

CIKM 2020   29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT
ICDM 2020   20th IEEE International Conference on Data Mining
ACM--ICMLC--Ei and Scopus 2020   ACM--2020 12th International Conference on Machine Learning and Computing (ICMLC 2020)--SCOPUS, Ei Compendex
ISBDAI 2020   【Ei Compendex Scopus】2020 International Symposium on Big Data and Artificial Intelligence
SIGSPATIAL 2020   28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
ACM Transactions on Sensor Networks 2020   Special Issue on Computational Intelligence in the Internet of Things
ICDM 2020   Call for Short&Industry Papers / 20th Industrial Conference on Data Mining ICDM 2020
DS-SAC 2020   DATA STREAMS TRACK - ACM SAC 2020
IEEE AIML4COINS 2020   IEEE AIML4COINS2020 | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP