DaWaK: Data Warehousing and Knowledge Discovery

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2022 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
DaWaK 2021 The 23rd International Conference on Big Data Analytics and Knowledge Discovery
Sep 27, 2021 - Sep 30, 2021 Linz, Austria (Virtual) May 2, 2021
DaWaK 2019 21st International Conference on Big Data Analytics and Knowledge Discovery
Aug 26, 2019 - Aug 29, 2019 Linz, Austria Mar 18, 2019 (Mar 11, 2019)
DaWaK 2017 19th International Conference on Big Data Analytics and Knowledge Discovery
Aug 28, 2017 - Aug 31, 2017 Lyon, France Mar 27, 2017 (Mar 20, 2017)
DaWaK 2015 17th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2015
Sep 1, 2015 - Sep 4, 2015 Valencia, Spain Mar 31, 2015 (Mar 17, 2015)
DaWaK 2014 16th International Conference on Data Warehousing and Knowledge Discovery
Sep 1, 2014 - Sep 5, 2014 Munich, Germany Mar 17, 2014
DaWaK 2013 15th International Conference on Data Warehousing and Knowledge Discovery
Aug 26, 2013 - Aug 29, 2013 Prague, Czech Republic Mar 26, 2013 (Mar 19, 2013)
DaWaK 2012 14th International Conference on Data Warehousing and Knowledge Discovery
Sep 3, 2012 - Sep 7, 2012 Vienna, Austria Mar 26, 2012 (Mar 19, 2012)
DaWaK 2010 12th International Conference on Data Warehousing and Knowledge Discovery
Aug 30, 2010 - Sep 3, 2010 Bilbao, Spain Mar 27, 2010 (Mar 19, 2010)
DaWaK 2009 11th International Conference on Data Warehousing and Knowledge Discovery
Aug 31, 2009 - Sep 4, 2009 Linz, Austria Mar 27, 2009 (Mar 20, 2009)
 
 

Present CFP : 2021

**** PUBLICATION ****
All accepted conference papers will be published in a volume of
"Lecture Notes in Computer Science" (LNCS) by Springer.

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.

The list of main topics include:
- 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
- Metadata for Big Data Framework
- Polystore and Multistore in Big Data and NoSQL DBMS
- 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 GUIDELINES ****
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 6 pages on preliminary work, vision papers or
industrial applications
- Full papers: up to 12 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 appear in
the Proceedings.

Formatting guidelines: http://www.dexa.org/formatting_guidelines

Online Papers Submission: https://easychair.org/conferences/?conf=dawak2021

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 (including the short ones) will be published
in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer Verlag.

All published papers will be indexed appropriately in all major indexes.
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 Chair ****
Matteo Golfarelli, University of Bologna, Italy
Robert Wrembel, Poznan University of Technology, Poland

**** Program Committee ****
http://www.dexa.org/dawak2021

For further inquiries, please contact dexa@iiwas.org
 

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