DaWaK2022: The 24th International Conference on Big Data Analytics and Knowledge Discovery WU (Vienna University of Economics and Business) Vienna, Austria, August 22-24, 2022 |
Conference website | http://www.dexa.org/dawak2022 |
Submission link | https://easychair.org/conferences/?conf=dawak2022 |
Abstract registration deadline | April 4, 2022 |
Submission deadline | April 4, 2022 |
Acceptance notifications | May 10, 2022 |
Camera ready copy due | June 1, 2022 |
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, 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.
Submission Guidelines
Authors are invited to submit original research contributions or experience reports in English. DaWak will accept submissions of both short and full papers.
- 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 hot or not yet explored topics.
- Short papers, up to 6 pages on preliminary work, vision papers or industrial applications
Papers exceeding the page limit or deviating from the formatting requirement are desk rejected.
- Formatting guidelines: http://www.dexa.org/formatting_guidelines
- Online Papers Submission: https://easychair.org/conferences/?conf=dawak2022
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.
List of Topics
Main topics include:
- Theoretical models for extended data warehouses and big data
- Parallel processing
- Parallel DBMS technology
- 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
Committees
Program Committee co-Chairs
- Robert Wrembel, Poznan University of Technology, Poland
- Johann Gamper, Free University of Bozen-Bolzano, Italy
Other Committees
- Program Committee members: http://www.dexa.org/dawak2022
- Steering Committee: http://www.dexa.org/committee
Publication
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 an international journal.
Venue
DaWaK 2022 conference will be held at Vienna University of Economics and Business (WU), Vienna, Austria.
Contact
All questions about submissions should be emailed to dexa@iiwas.org