Business Intelligence & Big Data
October 4-6, 2018, Tangier, Morocco
Decision-support information systems notably rest on data warehouses and on-line analytical processing (OLAP), two pillars of business intelligence (BI) that are nowadays confronted to new scientific and technological challenges. Traditional BI indeed rests on so-called classical data warehouses that can handle hundreds of terabytes of data, but hardly manage little-structured or unstructured data such as texts and graphs, nor quickly incoming data, thus inefficiently supporting real-time BI.
In parallel, with the emergence of big data-related technologies and the diffusion of data mining and machine learning algorithms, new perspectives open for analytical and decision-support uses. The proliferation of little-structured or unstructured data, data flows from, e.g., sensors, the Internet of things or social media, coming in huge volumes, is indeed a huge opportunity for BI and sparkles new research areas in data warehousing and OLAP.
Data warehousing and OLAP still operate in various organizations to structure and analyze both legacy and new data. They retain a key role in piloting such organizations (administrations, companies, hospitals…). Then the question is how to preserve their strengths while moving data warehouses and OLAP toward solving big data issues? Big data bring us into a new scientific and technological era offering architectures and infrastructures (clouds, Hadoop-like computing, NoSQL databases…) that allow better data management and analytics for decision-making. Such an evolution raises new problems that require the design of new approaches for data integration, modeling, querying, analysis, optimization and security, both in traditional and big data warehouses.
Since 2005, the French-speaking conference on data warehousing and OLAP (EDA) has been offering a regular meeting framework to researchers, industrials and users interested in the latest scientific and technological advances in this domain. We call all researchers and experts in this domain to present their work. We particularly encourage young researchers to participate.
The 14th Data Warehouse and Online Analysis Days, which will be held in Tangier, Morocco, in October 2018, are a context of meetings and exchanges between researchers, industrialists and users interested in the advances in these two fields. . They will be organized by the Tangiers National School of Applied Sciences and the Data and Systems Engineering Team at Abdelmalek Essaadi Tangier-Tetouan University.
Submitted papers may be written either in French or in English and must describe original research and applications related to the following topics (non-exhaustive list).
Theme #1: Data warehousing and OLAP
- Data warehouse architectures
- Data warehouse design
- Extract, transform, load (ETL)
- Data warehouse physical organization
- Multidimensional modeling
- On-line analytical processing (OLAP)
- Data warehouse maintenance and administration
- Performance optimization and tuning, benchmarks
Theme #2: Big data management
- Big data integration and modeling
- Big data quality and integrity
- Big data security and reliability
- Big data security, privacy and trust
- Data lakes
- NoSQL databases
- Text, graph, stream… data
- Distributed environments: Hadoop, Spark, Flink…
- Big data engineering: virtualization, elasticity, distributed computing, big data frameworks
- Semantic web, ontologies
- High performance/parallel computing
- Mobility and big data
Theme #3: BI & Big data
- Distributed data warehouses
- Data integration in the cloud
- NoSQL data warehouses & OLAP
- Cloud BI
- Cloud BI Security
Theme #4: Big data analytics
- Business analytics
- Data mining and machine learning
- Information retrieval
- Social media analysis
- Data visualization
- Search and mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
- Real-time/Right-time and Event-based Analytics
- Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data
Theme #5: Applications
- Applications: bioinformatics, administration, science, health, society…
- Internet of things
- Energy-efficient computing for big data
- Open data exploitation
- Alert systems
- Mobile applications
- eSCM and Logistic
- April 15, 2018 : Paper submission
- June 15, 2018 : Notification
- July 15, 2018 : Camera-ready versions of accepted papers and posters
- September 10, 2018 : Author registration and registration fee payment deadline
- October 4-6, 2018 : Conference
Articles submitted for publication may be written in French or in English. Each of them will be evaluated by at least three members of the program committee. The proceedings of the conference will be published in a special issue of the journal RNTI (Revue de New Technologies de l’Information) Hermann Publishing.
There are 3 categories of papers:
- Long papers (15 pages max ) : Classic research articles
- Short papers (8 pages max) : Articles describing feedback from research / industrial or other projects
- PhD student papers (4 pages max) : Presentation of the thesis subject, state of the art with presentation by poster during the conference.
Articles will be submitted on https://easychair.org/conferences/?conf=eda2018.
Submissions of articles can be done in Word and LaTeX). If accepted, any article must be in LaTeX format, the only format accepted by the publisher of the RNTI journal.
A selection of the best articles, expanded and translated into English, will be submitted to a special issue of a International Journal.
For any additional information, please contact us at the following address : eda2018 __AT__ uae.ac.ma.