-------- Forwarded Message -------- Subject: [AISWorld] CFP_International Conference on Big Data Analytics and Knowledge Discovery - DaWaK2020 Date: Thu, 06 Feb 2020 16:02:32 +0100 From: Hesti Sudjana hesti.sudjana@jku.at To: aisworld@lists.aisnet.org

***************************************************************************

We apologize if you receive multiple copies of this CFP ***************************************************************************

C A L L F O R P A P E R S

The 22nd International Conference on Big Data Analytics and Knowledge Discovery - DaWaK2020 September 14-17, 2020 Bratislava, Slovakia

http://www.dexa.org/dawak2020 email: dawak2020@easychair.org

Papers submission: https://easychair.org/conferences/?conf=dawak2020 **** IMPORTANT DATES **** Paper submission: March 16, 2020 Notification of acceptance: May 20, 2020 Camera-ready copies due: June 19, 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) **** 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

**** 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 appOnline 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.

**** 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

**** 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 Program Committee Chairs **** Min Song, Yonsei University, South Korea (min.song@yonsei.ac.kr) Il-Yeol Song, Drexel University, USA (songiy@drexel.edu)

Program Committees: http://www.dexa.org/dawak2020

For further inquiries, please contact the PC chairs (dawak2020@easychair.org)

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

_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org