BIoBD'19: International Workshop on Business Intelligence over Big Data Bled, Slovenia, September 8-11, 2019 |
Conference website | http://adbis-biobd2019.cnam.fr/ |
Submission link | https://easychair.org/conferences/?conf=biobd19 |
Overview of the workshop
Business Intelligence and Analytics (BI&A) and the related field of big data analytics have become an important area of study for both practitioners and researchers. This reflects the extent and importance of data-related issues. Protecting this data and extracting value from it are also challenges of great importance in the last years and for many years to come.
The 1st International Workshop on Business Intelligence over Big Data (BIoBD) workshop aims to gather researchers and practitioners around topics interested in current issues related to BI&A and big data as well as issues related to the protection and semantics of data. Original, unpublished research papers are welcomed in the BIoBD workshop.
Authors are invited to submit their work under the form of either a long paper exposing novel research works with preliminary results, or a short vision paper outlining research issues for future work. Rejected papers from ADBIS that match the workshop topics could be resubmitted to BIoBD and will undergo the same review process as the other submissions. Each submission will be reviewed by 3 members of the program committee. The best papers presented at BIoBD will be invited for publication in an international journal.
Submission Guidelines
The page limit is 12 pages for full papers and 6 pages for vision papers (in LNCS format). Excessively short submissions (3 pages or less) will not be penalized. Latex submissions are highly encouraged. Nonetheless, papers prepared in other word processing software are also welcome. Papers should be submitted in PDF format via Easychair at https://easychair.org/conferences/?conf=biobd19
List of Topics
Business Intelligence and Analytics applications
- Multidimensional data and OLAP cubes
- Extract transform and load processes (ETL)
- Data and process quality in Analytics Systems
- Data warehouses, data lakes, data vault
- Pre-processing and data cleaning to build analytic data sets
2. Big Data applications
- Big Data Storage and Indexing
- Big Data Quality
- Big Data Application Deployment
- NoSql data stores modeling and optimizing
- Conceptual Model Foundations for Big Data
3. Semantic web
- Ontology-based threat modeling
- Ontology-based privacy modeling
- Ontology-based data stores
Important dates
Paper submission: May 17, 2019
Acceptance notification: June 10, 2019
Camera-ready: June 23, 2019
Workshop: September 8, 2019
Committees
Program Committee
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Fatma Abdlehedi, Head of CBI² lab, Trimane, France
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Elhadj Benkhelifa, Staffordshire University, UK
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Manel Bensassi, RIADI-ENSI, University of la Manouba, Tunisia
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Djamal Benslimane Lyon 1 University, France
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Samira Cherfi, Conservatoire National des Arts et Métiers (CNAM), Paris, France
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Fayçal Hamdi, Conservatoire National des Arts et Métiers (CNAM), Paris, France
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Ahmed Maalel, University of Sousse, Tunisia
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Nandana Mihindukulasooriya, IBM, USA
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Freddy Priyatna, Universidad Politécnica de Madrid, Spain
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José Luis Redondo García, Amazon Research, UK
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Nicolas Travers, Digital Group at ESILV, Ecole Supérieure d'Ingénieurs Léonard de Vinci, France
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Cihan Tunc, University of Arizona, USA
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Boris Villazón Terrazas, Arvato Bertelsmann, Spain/Germany
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Gilles Zurfluh, IRIT, University of Toulouse, France
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Houda Khrouf, ATOS, Paris, France
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Paloma Rubio Conde, Kernel Analytics, Madrid, Spain
Organizing committee
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Ghislain Atemezing, MONDECA, Paris, France
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Faten Atigui, Conservatoire National des Arts et Métiers (CNAM), Paris, France
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Soufiane Mir, Orange Bank, France
Venue
The conference will be held in Bled, Slovenia
Contact
All questions about submissions should be emailed to the workshop chairs:
Ghislain Atemezing: firstname.lastname[at]mondeca.com
Faten Atigui: firstname.lastname[at]cnam.fr
Soufiane Mir: firstname.lastname[at]orangebank.com