Applications (DSEA 2019)*
*http://emergingtechnet.org/DSEA2019/
<http://emergingtechnet.org/DSEA2019/>*
*in conjunction with*
*The Sixth IEEE International Conference on Social Networks Analysis,
Management and Security(SNAMS-2019)*
*Granada, Spain. October 22-25, 2019*
*Call for Papers:*
Today, Data is becoming an increasingly decisive resource in modern
societies, economies, and governmental organizations. Data science inspires
novel techniques and theories drawn from mathematics, statistics,
information theory, computer science, and social science. It involves many
domains, such as signal processing, probability models, machine learning,
data mining, database, data engineering, pattern recognition,
visualization, predictive analytic, data warehousing, data compression,
computer programming, etc. High Performance Computing typically deals with
smaller, highly structured data sets and huge amounts of computation. Data
Science has emerged to tackle the problem of creating processes and
approaches to extracting knowledge or insights from gigantic, unstructured
data sets.
The Third International Workshop for Data Science Engineering and
Applications (DSEA 2019) aims to provide a forum that brings together
researchers, industry practitioners and domain experts for discussion and
exchange of ideas on the latest theoretical developments in Data Science
and Computing as well as on the best practices for a wide range of
applications.
*Topics of interest *
=======
Authors are encouraged to submit their original work, which is not
submitted elsewhere, to this workshop. The topics of the workshop include
but not limited to:
- Big Data Mining and Knowledge Management
- Architecture, management and process for Data Science
- Evaluation and Measurement in Data Science
- Privacy and protection standards and policies for Data Science
- Data Quality
- Data science for the internet of things (IoT)
- Management Issues of Social Network Big Data
- Big Data Computing for Data science/li>
- Social Network and Big Data Analytics
- Open Source tools for Data Science and Big Data
- Data Mining for Data science
- High performance computing for data analytic
- Mathematical Issues in Data Science and Applications
- Cloud Computing for Big Data and Social Networks
- Data Science and Big Data for the Internet of Things
- Data Science and Big Data Management for Large-scale databases
- Data Science and Big Data for Decision Making
- Visualization tools for Data Science and Big Data
- Data-driven Scientific Research
- Data warehouses and cloud computing support for Data Science
- Case studies
*Paper Submission : *
======
Authors are requested to submit papers reporting original research results
and experience. The page limit for full papers is 6 pages. Papers should be
prepared using IEEE two-column template.
IEEE Computer Society Proceedings Author Guidelines are available at: IEEE
Guidelines Link <http://www.computer.org/portal/web/cscps/submission>
Papers should be submitted as PDF files via the EasyChair.
Submitted research papers may not overlap with papers that have already
been published or that are simultaneously submitted to a journal or a
conference. All papers accepted for this conference are peer-reviewed and
are to be published in the conference proceedings and will be submitted for
inclusion into the IEEE Xplore Digital Library.
*Important Dates : *
======
*Full Paper Submission:* 1 July, 2019
*Notification of Decision:* 20 August, 2019
*Camera-Ready and Registration :* 5th September, 2019
Please send any inquiry to the Emerging Tech. Network Team at:
emergingtechnetwork@gmail.com
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
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