| |||||||||||||||
OBIS 2016 : 1st Workshop on Open Business Intelligence Systems (OBIS 2016) Collocated with: SITIS 2016 - The 12th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS | |||||||||||||||
Link: http://sitis-conf.org/en/obis-16.php | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
OBIS 2016 - 1st Workshop on Open Business Intelligence Systems (OBIS 2016)
Collocated with: SITIS 2016 - The 12th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS. November 28 - December 1, 2016 - Naples, Italy Scope of the Workshop Decision-making is a crucial, yet challenging mission in enterprise management. It is still made based on a reactive approach rather than on facts and proactive approaches. This is often due to unknown correlation between data and goals, conflicting goals and weak defined strategy. Enterprise success depends on fast and well-defined decisions taken by relevant policy makers and business actors in their specific area. Open business intelligent systems can be seen as a collection of decision support technologies and tools for enterprises to enable knowledge workers such as executives, managers, and analysts to make better and faster decisions. With the emergence of big data, it possible to explore new opportunities that will revolutionize business intelligence. These include data warehouse based decision support, Hadoop (development environment), sensor data, social media, machine learning and crowd sourcing. The aim of this workshop is provide a forum to review open business intelligent systems as an open innovation strategy and address their importance in revolutionizing knowledge processing in economics and business sustainability. Topics for the workshop include, but are not limited to: • Intelligent decision support systems • Intelligent transport systems • Crowdsourcing systems and application • Multiagent systems and Data analytics • Crowdsourcing, collaboration, and problem solving with social media • Social media analytics • Machine learning and decision support systems • Opinion mining and sentiment analysis • Business models for innovative use of big data • Real-time decision making, forecasting, and fraud detection using big data • Modeling big data and related decision scenarios • Methodologies for innovations to handle large data sets • Big data analytics in business applications Publication All the papers accepted for the workshop will be included in the conference proceedings. The proceedings will be published by IEEE Computer Society and referenced in IEEE Xplore Digital Library and major indexes. They will be available at the conference. Program Co-Chairs: A. ELFAZZIKI, Cadi Ayyad University, Morocco Mohamed Sadgal, Cadi Ayyad University, Morocco Program Committee: Karim Baina, Mohamed V University, Morocco Djamel Benslimane, Lyon1 University, France Richard Chbeir, LIUPPA Laboratory, France Ernesto Damiani, Milan University, Italy Kokou Yetongnon, Bourgogne University, France Hajar Mousannif, Cadi Ayyad University, Morocco Abderrahmane Sadiq, Cadi Ayyad University, Morocco Contact elfazziki@uca.ma sadgal@uca.ma abderrahmane.sadiq@ced.uca.ma |
|