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C A L L F O R P A P E R S
The 22nd International Conference on Big Data Analytics and
Knowledge
Discovery - DaWaK2020
September 14-17, 2020
Bratislava, Slovakia
http://www.dexa.org/dawak2020
email:
dawak2020@easychair.org
Papers submission:
https://easychair.org/conferences/?conf=dawak2020
**** IMPORTANT DATES ****
Paper submission: March 16, 2020
Notification of acceptance: May 20, 2020
Camera-ready copies due: June 19, 2020
**** PUBLICATION ****
All accepted conference papers will be published in a volume of
"Lecture
Notes in Computer Science" (LNCS) by Springer. All published
papers will
be indexed appropriately in all major indexes. Selected
high-quality
papers will be invited to be published, after revision and
extension, in
special issues of international journals.
**** 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 modelling), 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
- Modelling diverse big data sources (e.g. text)
- Conceptual Model Foundations for Big Data - Query Languages -
Query processing and Optimisation
- Cost Models for advanced optimisation
- 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 Parallelisation using MapReduce, Spark and
related
systems
- Graph analytics, including social networks and the Internet
- Visualisation
- 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 GUIDEINES ****
Authors are invited to electronically submit original research
contributions or experience reports in English. DaWak will accept
submissions of both short and full papers.
- Short papers: up to 10 pages on preliminary work, vision papers
or
industrial applications
- Full papers: up to 15 pages and papers are expected to be more
mature,
contain more theory or present a survey (tutorial style) of some
interesting topic.
Any submission that significantly exceeds length limits or
deviates from
formatting requirements may be rejected without review. The
submitted
manuscript Formatting guidelines:
http://www.dexa.org/formatting_guidelines
Online Papers Submission:
https://easychair.org/conferences/?conf=dawak2020
**** REVIEW PROCESS ****
Submitted papers will be carefully evaluated based on originality,
significance, technical soundness, and clarity of exposition.
Duplicate submissions are not allowed and will be rejected
immediately
without further review. 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."
Questions about this policy or how it applies to a specific paper
should
be directed to the PC Co-chairs.
**** SPECIAL ISSUE ****
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
**** ACCEPTED PAPERS ****
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.
Papers are
accepted with the understanding that at least one author will
register
for the conference to present the paper. 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. Both full and short papers have the opportunity to be
invited
for journal submission, based on the quality of the presentation
at the
conference.
**** Conference Program Committee co-Chairs ****
Il-Yeol Song, Drexel University, USA (
songiy@drexel.edu)
Min Song, Yonsei University, South Korea (
mon.song@uonsei.ac.kr)
Program Committees:
http://www.dexa.org/dawak2020
For further inquiries, please contact the PC chairs
(
dawak2020@easychair.org)
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Hesti Sudjana Departement of Telecooperation Johannes Kepler
University Linz
Science Park 3, Altenberger Straße 69, 4040 Linz, Austria
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