Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2022 (Submission deadline: October 15, 2021)

[Carlos]

*ACM Symposium on Applied Computing *

The 37th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic

April 25 – April 29, 2022

https://www.sigapp.org/sac/sac2022/


*Data Streams Track *

https://abifet.github.io/SAC2022/




*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We are looking for original, unpublished work related to algorithms,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  *

1. Submission deadline: October 15, 2021

2. Notification deadline: December 10, 2021

3. Camera-ready deadline: December 21, 2021



*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 8
pages. There is a set of templates to support the required paper format
for a number of document preparation systems at
https://www.sigapp.org/sac/sac2022/authorkit.html


Important notice:

1. Please submit your contribution via SAC 2022 Webpage:
https://www.softconf.com/m/sac2022/
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.


Carlos Ferreira


ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt