[AISWorld] 21st International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2019

Hesti Sudjana hesti.sudjana at jku.at
Thu Mar 7 03:55:03 EST 2019


            
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     We apologize if you receive multiple copies of this CFP
            
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                               C  A  L  L    F O R     P A P E R S 


       21st International Conference on Big Data Analytics and Knowledge
Discovery - DaWaK 2019
                                            Linz, Austria
              
                          August 26 - 29, 2019
                                     
                                    http://www.dexa.org/dawak2019/
                                      email: dexa2019 at iiwas.org
                   Paper submission:
http://confdriver.ifs.tuwien.ac.at/dexa2019


***** Important Dates *****
- Submission of abstracts: March 11, 2019 
- Submission of full papers: March 18, 2019
- Notification of acceptance: May 24, 2019
- Camera-ready copies due: June 08, 2019

***** PUBLICATION *****
All accepted conference papers will be published in a volume of "Lecture
Notes in Computer Science" (LNCS) by Springer Verlag. Authors of all
accepted papers must sign a Springer copyright release form. 
Authors of selected papers presented at the conference will be invited
to submit extended versions of their papers for publication in:
- Data & Knowledge Engineering, DKE, Elsevier
The submitted extended versions will undergo a further review process.

***** SCOPE *****
The annual DaWaK conference is a high-quality forum for researchers,
practitioners and developers in the field of Big Data Analytics, in a
broad sense. The objective is to explore, disseminate and exchange
knowledge in this field through scientific and industry talks. The
conference covers all aspects of DaWaK research and practice, including
data lakes (schema-free repositories), database design (data warehouse
design, ER modeling), big data management (tables + text + files), query
languages (SQL and beyond), parallel systems technology (Spark,
MapReduce, HDFS), theoretical foundations and applications, bringing
together active researchers from the database systems, cloud computing,
programming languages and data science communities worldwide.
- Theoretical Models for Extended Data Warehouses and Big Data
- Parallel Processing
- Parallel DBMS technology
- Schema-free data repositories
- Modeling diverse big data sources (e.g. text)
- Conceptual Model Foundations for Big Data 
- Query Languages 
- Query processing and Optimization
- Cost Models for advanced optimization
- Semantics for Big Data Intelligence
- Data warehouses, data lakes
- Big Data Storage and Indexing-
- Big Data Analytics: algorithms, techniques, and systems
- Big Data Quality and Provenance Control
- Distributed system architectures
- Exploiting hardware to accelerate processing: multicore CPUs, cache
memory, GPUs
- Cloud Infrastructure to manage big data
- Scalability and Parallelization using MapReduce, Spark and related
systems
- Graph analytics, including social networks and the Internet
- Visualization
- Big Data Search and Discovery
- Big Data Management for Mobile Applications
- Analytics for Unstructured, Semi-structured, and Structured Data
- Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
- Analytics for Data Streams and Sensor Data
- Analytics for Big Multimedia Data
- Real-time/Right-time and Event-based Analytics
- Privacy and Security in Analytics
- Big Data Application Deployment
- Pre-processing and data cleaning to build analytic data sets
- Integration of Data Warehousing, OLAP Cubes and Data Mining
- Analytic workflows

***** Submission Guidelines *****
- Authors are invited to electronically submit original research
contributions or experience reports in English.
- Submitted papers will be carefully evaluated based on originality,
significance, technical soundness, and clarity of exposition.
- The submitted manuscript should closely reflect the final paper as it
will appe- Formatting guidelines refer to
http://www.dexa.org/formatting_guidelines/
- Submission is made electronically in PDF format using our conference
management system (http://www.dexa.org/paper_submission)
- The length of
submitted manuscripts should not exceed 15 pages.
- Any submission that
significantly exceeds length limits or deviates from formatting
requirements may be rejected without review

**Duplicate submissions are not allowed** 
Authors are expected to agree to the following terms: "I understand that
the submission must not overlap substantially with any other paper that
I am a co-author of or that is currently submitted elsewhere.
Furthermore, previously published papers with any overlap are cited
prominently in this submission."
Submitted papers will be double checked for duplicate submission
comparing them to public paper repositories. Duplicate submissions will
be rejected immediately without further review. Questions about this
policy or how it applies to a  specific paper should be directed to the
PC Co-chairs.


***** Conference & PC Chairs *****
Carlos Ordonez, University of Houston, USA (carlos at Central.UH.EDU)
Il-Yeol Song, Drexel University, USA (songiy at drexel.edu)

***** PC Members *****
http://www.dexa.org/dawak2019

***** Contacts *****
For further information, please contact DEXA organization office
(hesti at iiwas.org)


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Hesti Sudjana 
Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 
4040 Linz, Austria
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