[AISWorld] The 26th Conference on Big Data Analytics and Knowledge Discovery (DAWAK2024) _CFP

[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 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK2024)

                                26 - 28 August, 2024
                                   Naples, Italy

                             https://www.dexa.org/DAWAK2024
                                 email: dexa at iiwas.org
                    Papers submission: https://dawak2024.iiwas.org



*** IMPORTANT DATES ***
Paper submission due: 07 March 2024
Notification of acceptance: 10 May 2024
Camera-ready copies due: 10 June 2024 (SHARP)
Authors Registration due: 10 June 2024 (SHARP)
Conference days: 26-28 August 2024


*** PUBLICATION ***
All accepted Dawak2024 papers will be published by Springer in their Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science. 
A SPECIAL ISSUE of DATA & KNOWLEDGE ENGINEERING (DKE) is 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
- AI/ML for Big data analytics (text, time series, spatio-temporal, graph)
- 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 visualisation
- Big data application deployment
- Data science products
- Novel applications of text mining for big data
- Machine Learning: auto AI, deep learning applications
- AI/ML for data engineering, management, and analytics

*** 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 15 pages (including references and appendixes). Full papers are expected to be more mature, contain more theory 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.
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

*** SUBMISSION PROCEDURE ***
Papers submission will be managed using HotCRP.
Papers submission: https://dawak2024.iiwas.org/
Authors should consult Springer’s authors’ instructions (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Please refer to Paper Submission procedure at DEXA2024 website (https://www.dexa.org/PaperSubmission)

*** 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, Interdisciplinary Centre for Artificial Intelligence and Cybersecurity, Poland
- Silvia Chiusano, Polytechnic University of Turin, Italy

Program committee member please refer to DAWAK2024 Website (https://www.dexa.org/dawak2024)

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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