Call for papers EDA 2017 Business Intelligence & Big Data #BI #BigData

EDA 2017
Business Intelligence & Big Data
http://eric.univ-lyon2.fr/eda2017/
May 3-5, 2017, Lyon, France
In conjunction with MaDICS-ADOC Text Analytics days
http://eric.univ-lyon2.fr/adoc/

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. 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
Data lakes
NoSQL databases
Text, graph, stream… data
Distributed environments: Hadoop, Spark…
Big data engineering: virtualization, elasticity, distributed computing, big data frameworks
Semantic web, ontologies

Theme #3 – Big data analytics

Business analytics
Data mining and machine learning
Information retrieval
Social media analysis
Cloud BI
Data visualization

Theme #4 – User-centric BI

User-centric OLAP
Personalization, recommendation
On-demand BI
Personal BI

Theme #5 – Applications

Applications: administration, science, health, society, bioinformatics…
Open data exploitation
Alert systems
Mobile applications
Customer relationship management

Key information

Conference website: http://eric.univ-lyon2.fr/eda2017/

Important dates

January 20, 2017: Paper submission
March 10, 2017: Notification
March 28, 2017: Camera-ready copy
May 3-5, 2017 Conference

Submission instructions

Submitted papers may be written either in French or in English. At least three members of the program committee will review each of them. The conference proceedings will be published in a special issue of the French RNTI journal (Revue des Nouvelles Technologies de l’Information).

Papers must be submitted on EasyChair, comply with the RNTI format and be at most 15 pages long. Submissions may either be written in LaTeX or Word format, but in case of acceptation, the only format allowed by the publisher is LaTeX.

A selection of the best papers, extended and translated into English if necessary, will be submitted to a special issue of the International Journal of Data Warehousing and Mining (IJDWM).

For any further question, please contact eda2017 __AT__ eric.univ-lyon2.fr