[AISWorld] CFP_ International Conference on Big Data Analytics and Knowledge Discovery - DaWaK2020

[Hesti Sudjana]

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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


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 at 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
a special issue of Data & Knowledge Engineering (DKE)
 
**** 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, text and
data mining techniques, and deep learning. The conference will bring
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 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
- Cloud Infrastructure for Big Data
- Scalability and Parallelization using MapReduce, Spark and Related
Systems
- Graph Analytics
- 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
- Real-time/Right-time and Event-based Analytics
- Privacy and Security in Analytics
- Big Data Application Deployment
- Pre-processing and Data Cleaning
- Integration of Data Warehousing, OLAP Cubes and Data Mining
- Analytic Workflows
- Novel Applications of Text Mining to Big Data
- Deep Learning Applications 
- Data Science Products

**** 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 should closely reflect the final paper as it will 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 Chairs ****
Min Song, Yonsei University, South Korea (min.song at yonsei.ac.kr)
Il-Yeol Song, Drexel University, USA (songiy at drexel.edu)

Program Committees: http://www.dexa.org/dawak2020

For further inquiries, please contact the PC chairs
(dawak2020 at 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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