The 22nd International Conference on Big Data Analytics and Knowledge Discovery - DaWaK2020
September 14-17, 2020
Bratislava, Slovakia
email: dawak2020@easychair.org
Papers submission: https://easychair.org/conferences/?conf=dawak2020
Authors will be allowed to present their work virtually if needed to ensure both the safety of participants and wide dissemination of their work.
We will announce further instructions regarding this in the due time.
IMPORTANT DATES
- Paper submission:
March 16, 2020March 26, 2020April 6, 2020April 14, 2020 23:95 GMT (FINAL) - Notification of acceptance:
May 20, 2020June 1, 2020 - Camera-ready copies due: June 20, 2020
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. Selected high-quality papers will be invited to be published, after revision and extension, in a special issue of Data & Knowledge Engineering (DKE).
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. Selected high-quality papers will be invited to be published, after revision and extension, in a special issue of Data & Knowledge Engineering (DKE).
SCOPE
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. 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 Products
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. 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 Products
SUBMISSION GUIDEINES
Authors are invited to electronically submit original research contributions or experience reports in English. DaWak will accept submissions of both short and full papers.
- Short papers: up to 10 pages on preliminary work, vision papers or industrial applications
- Full papers: up to 15 pages and papers are expected to be more mature, contain more theory or present a survey (tutorial style) of some interesting topic.
Any submission that significantly exceeds length limits or deviates from formatting requirements may be rejected without review. The submitted manuscript should closely reflect the final paper as it will appear in the Proceedings.
Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online Papers Submission: https://easychair.org/conferences/?conf=dawak2020
- Short papers: up to 10 pages on preliminary work, vision papers or industrial applications
- Full papers: up to 15 pages and papers are expected to be more mature, contain more theory or present a survey (tutorial style) of some interesting topic.
Any submission that significantly exceeds length limits or deviates from formatting requirements may be rejected without review. The submitted manuscript should closely reflect the final paper as it will appear in the Proceedings.
Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online Papers Submission: https://easychair.org/conferences/?conf=dawak2020
REVIEW PROCESS
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 review.
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.
Duplicate submissions are not allowed and will be rejected immediately without further review.
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.
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
Data & Knowledge Engineering, DKE, Elsevier
ACCEPTED PAPERS:
All accepted conference papers will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer Verlag. 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. 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 journal submission, based on the quality of the presentation at the conference.
Conference General Chair:
- Bernhard Moser, Software Competence Center Hagenberg, Austria
Conference Program Committee Chairs:
- Min Song, Yonsei University, South Korea (min.song@yonsei.ac.kr)
- Il-Yeol Song, Drexel University, USA (songiy@drexel.edu)
Program Committee members:
- Alberto Abello, Universitat Politècnica de Catalunya, Spain
- Julien Aligon, Université de Toulouse, France
- Toshiyuki Amagasa, University of Tsukuba, Japan
- Amin Beheshti, Macquarie University, Australia
- Ladjel Bellatreche, LIAS/ENSMA, France
- Sadok Ben Yahia, Université de Tunis El Manar, Tunis
- Fadila Bentayeb, ERIC-Université Lumière Lyon 2, France
- Rafael Berlanga, Universitat Jaume I, Spain
- Jorge Bernardino, ISEC-Polytechnic Institute of Coimbra, Portugal
- Besim Bilalli, Universitat Politècnica de Catalunya, Spain
- Sandro Bimonte, Irstea, France
- Kamel Boukhalfa, University of Science and Technology Houari Boumediene, Algeria
- Stephane Bressan, National University of Singapore, Singapore
- Tania Cerquitelli, Politecnico di Torino, Italy
- Sharma Chakravarthy, The University of Texas at Arlington, USA
- Isabelle Comyn-Wattiau, ESSEC Business School, France
- Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
- Laurent D'Orazio, University of Rennes-CNRS-IRISA, France
- Jérôme Darmont, Université de Lyon, France
- Karen Davis, Miami University, USA
- Ibrahim Dellal, LIAS/ENSMA, France
- Curtis Dyreson, Utah State University, USA
- Markus Endres, University of Passau, Germany
- Leonidas Fegaras, University of Texas at Arlington, USA
- Philippe Fournier-Viger, Harbin Institute of Technology (Shenzhen), China
- Filippo Furfaro, DIMES- University of Calabria, Italy
- Pedro Furtado, Universidade de Coimbra/CISUC, Portugal
- Carlos Garcia-Alvarado, Pivotal Inc., USA
- Kazuo Goda, The University of Tokyo, Japan
- Matteo Golfarelli, University of Bologna, Italy
- Marcin Gorawski, Silesian University of Technology and Wroclaw University of Technology, Poland
- Hyoil Han, Illinois State University, USA
- Frank Höppner, Ostfalia University of Applied Sciences, Germany
- Stephane Jean, LISI/ENSMA and University of Poitiers, France
- Petar Jovanovic, Universitat Politècnica De Catalunya-Barcelona Tech, Spain
- Vana Kalogeraki, Athens University of Economics and Business, Greece
- Min-Soo Kim, DGIST, Korea Rep.
- Uday Kiran, The University of Tokyo, Japan
- Nicolas Labroche, Universite François-Rabelais Tours, France
- Jens Lechtenbörger, University of Muenster, Germany
- Young-Koo Lee, Kyung Hee University, Korea Rep.
- Jae-Gil Lee, Korea Advanced Institute of Science and Technology, Korea Rep.
- Mong Li Lee, National University of Singapore, Singapore
- Wolfgang Lehner, TU Dresden, Germany
- Daniel Lemire, LICEF Research Center Université du Québec, Canada
- Sebastian Link, The University of Auckland, New Zealand
- Xiufeng Liu Danish Techincal university, Denmark
- Sofian Maabout, LaBRI. University of Bordeaux, France
- Sanjay Madria, Missouri S & T, USA
- Patrick Marcel, Université François Rabelais Tours, Laboratoire d'Informatique, France
- Adriana Marotta, Instituto de Computacion-Universidad de la Republica, Uruguay
- Alejandro Maté, University of Alicante, Spain
- Jose-Norberto Mazon, University of Alicante, Spain
- Amin Mesmoudi, LIAS-Université de Poitiers, France
- Jun Miyazaki, Tokyo Institute of Technology, Japan
- Anirban Mondal, The University of Tokyo, Japan
- Yang-Sae Moon, Kangwon National University, Korea Rep.
- Yasuhiko Morimoto, Hiroshima University, Japan
- Sergi Nadal, Universitat Politècnica de Catalunya, Spain
- Bernd Neumayr, Johannes Kepler University Linz, Austria
- Makoto Onizuka, Osaka University, Japan
- Carlos Ordonez, University of Houston, USA
- Torben Bach Pedersen, Aalborg University, Denmark
- Verónika Peralta, University of Tours, France
- Praveen Rao, University Of Missouri, USA
- Stefano Rizzi, University of Bologna, Italy
- Oscar Romero, Universitat Politècnica de Catalunya, Spain
- Keun Ho Ryu, Chungbuk National University, Korea Rep.
- Alkis Simitsis, HP Labs, USA
- Benkrid Soumia, ESI, Algeria
- Dimitri Theodoratos, New Jersey Institute of Technology, USA
- Maik Thiele, TU Dresden, Germany
- Christian Thomsen, Aalborg University, Denmark
- Predrag Tosic, Washington State University, USA
- Juan Trujillo, University of Alicante, Spain
- Panos Vassiliadis, University of Ioannina, Greece
- Robert Wrembel, Poznan Unviersity of Technology, Poland
- Hwan-Seung Yong, Ewha Womans University, Korea Rep.
- Yongjun Zhu, Sungkyunkwan University, Korea Rep.
For further inquiries, please contact the DaWaK 2020 PC chairs.
