[AISWorld] CFP_The 24th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2022)

[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 24th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2022)

                                22 - 24 August, 2022
                                   Vienna, Austria

                       https://www.dexa.org/dawak2022
                                email: dexa at iiwas.org
         Papers submission: https://easychair.org/conferences/?conf=dawak2022



*** IMPORTANT DATES ***
Abstract submission deadline: 7 March 2022
Paper submission deadline: 7 March 2022
Notification of acceptance: 10 May 2022
Camera-ready copies due: 1 June 2022
Conference days: 22-24 August 2022


*** 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 a Q1 international journal (currently under approval). 

*** SCOPE ***
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. 
Main topics include: 
- 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

*** 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.
- Short papers: up to 6 pages on preliminary work, vision papers, or industrial applications.
- Full papers: up to 12 pages, more mature than short papers, contain more theory and experimental 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: 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.

*** ACCEPTED PAPERS ***
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.

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

Program committee member please refer to DaWaK2022 Website

For further inquiries, please contact dexa at iiwas.org

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Hesti Sudjana
Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 
4040 Linz, Austria
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