CALL FOR PAPERS : DAWAK 2022 (deadline: 7 March 2022)
Date: December 23, 2021 09:03PM

24th International Conference on
Big Data Analytics and Knowledge Discovery - DAWAK
August 22-24, 2022
WU (Vienna University of Economics and Business), Vienna, Austria,

Abstract submission deadline: March 7, 2022
Paper submission deadline: March 7, 2022
Acceptance notifications: May 10, 2022
Camera ready copy due: June 1, 2022

Authors are invited to 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
Full papers - up to 12 pages, more mature than short papers, contain more
theory and experimetnal evaluation, or present a survey (tutorial style) of some
hot or not yet explored topics.

Papers exceeding the page limit or deviating from the formatting requirement
are desk rejected.

Formatting guidelines:

Online Papers Submission:

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 reviewing. 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.

All DaWaK 2022 accepted papers will be published in a volume of "Lecture Notes
in Computer Science" (LNCS) by Springer. LNCS volumes are indexed in the
Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’
Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc.

Distinguished papers, after further revisions, will be considered for
publication in a special issue of a Q1 international journal (currently
under approval).

Theoretical models for extended data warehouses and big data
Conceptual model foundations for big data
Modelling diverse big data sources
Parallel processing
Parallel DBMS technology
Distributed system architectures
Scalability and parallelization using Map-Reduce, Spark, and related systems
Query languages
Query processing and optimization
Semantics for big data intelligence
Data warehouse and data lake architectures
Pre-processing and data cleaning
Integration of data warehousing, OLAP cubes, and data mining
Polystore and multistore architectures
NoSQL storage systems
Cloud infrastructures for big data
Metadata for big data frameworks
Big data storage and indexing
Big data analytics: algorithms, techniques, and systems
Big data quality and provenance
Big data search and discovery
Big data management for mobile applications
Analytic workflows
Graph analytics
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
Data visualization
Big data application deployment
Data science products
Novel applications of text mining for big data
Machine learning: auto AI, deep learning applications

Program Committee co-Chairs
Robert Wrembel, Poznan University of Technology, Poland
Johann Gamper, Free University of Bozen-Bolzano, Italy

Program Committee members: (under construction)
Steering Committee:

All questions about submissions should be emailed to


This forum is powered by Phorum and provided by P. Fournier-Viger (© 2012).
Terms of use.