DAWAK2021: The 23rd International Conference on Big Data Analytics and Knowledge Discovery Virtual Linz, Austria, September 27-30, 2021 |
Conference website | http://www.dexa.org/dawak2021/ |
Submission link | https://easychair.org/conferences/?conf=dawak2021 |
Submission deadline | May 2, 2021 |
Notification of acceptance | June 1, 2021 |
Camera-ready copies due | June 30, 2021 |
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.
Submission Guidelines
- 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.
- Formatting guidelines: http://www.dexa.org/formatting_guidelines
- Online Papers Submission: https://easychair.org/conferences/?conf=dawak2021
Topics of Interests
The conference will bring together active researchers from the database systems, cloud computing, programming languages and data science communities worldwide.
- 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
- 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 ProductsTopic 1
Committees
Program Committee Chairs
- Matteo Golfarelli, University of Bologna, Italy
- Robert Wrembel, Poznan University of Technology, Poland
Program Committees: http://www.dexa.org/dawak2021
Publication
All accepted conference papers will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer. All published papers will be indexed appropriately in all major indexes.
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.The submitted extended versions will undergo a further review process. Both full and short papers have the opportunity to be invited for the journal, based on the reviews and the quality of a presentation at the conference.
Venue
The conference will be held Virtual in Central Europe Timezone (Linz, Austria), from 27th to 30th September 2021
Contact
All questions about submissions and further inquiries, please contact dexa@iiwas.org