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BDBI 2018 : International Workshop on Big Data and Business Intelligence


When Nov 5, 2018 - Nov 8, 2018
Where Leuven, Belgium
Abstract Registration Due Jul 31, 2018
Submission Deadline Aug 15, 2018
Notification Due Sep 3, 2018
Final Version Due Sep 15, 2018
Categories    big data   business intellig

Call For Papers

International Workshop on Big Data and Business Intelligence (BDBI’2018)
Held in parallel with
The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN)
November 5-8, 2018, Leuven, Belgium
The International Workshop on Big Data and Business Intelligence (BDBI’2018) is a leading international conference for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all computer systems, applications and technologies related areas. The BDBI program will include guest speakers, peer reviewed technical program, demos, short papers, posters and invited sessions on the same or related topics, industrial presentations, and exhibitions around but not limited to the following topics:
Big Data Analytics
? Storage, Data, and Analytics Clouds
? Federal Big Data Cloud Configuration, Performance, and Capacity
? Big Data Search
? Big Data applications: Bioinformatics, Multimedia, Smartphones, etc.
? Data mining, graph mining and data science
? Cloud and grid computing for Big Data
? Hardware/software infrastructure for Big Data
? Role of Big Data issues in Pervasive Systems
? Data Mining Techniques in Wireless Sensor Networks
? Big Data Analytics applied to Smart Cities
? Role of Big Data issues in Vehicle Ad Hoc Networks ....
? Challenges and opportunities for the electric energy industry
? Big Data advantages for electric energy trading
? Big Data and Energy Systems Integration
? Big Data and Energy Efficiency
? Big Data and Electricity Demand Forecasting
? Big Data and Energy Management
?IA and information systems
? ICT integration in education
? Information and knowledge management
? Information hiding and watermarking
? Information technologies
? Information theory/coding
? Architectures for Big Data
? The role of Big Data in improving power system operation and protection
? Smart electrical grid with Big Data
? Image Processing and Reconstruction
?Signal Processing
? Video Processing and Reconstruction
?Architecture, management and process for data science
?Cloud computing and service data analysis
?Data warehouses, cloud architectures
?Mathematical Issues in Data Science
?Big Data Issues and Applications
?Large-scale databases
?High performance computing for data analytics
?Large scale optimization
?Data-driven Scientific Research
?Security, trust and risk in big data
?Privacy and protection standards and policies
?Data Quality
?Evaluation and Measurement in Data Science
?Big Data Mining and Knowledge Management
?Case Study of Data Science
?trends and innovative applications of Business Intelligence
?digitalization and big data
?benefits of predictive and advanced analytics
?BI organization – best practices and no-goes.

?Develop a foundation of business trust through data quality, security, privacy, and governance
?Make analytics and insight part of the DNA for every person, action, business process and decision
?Build and execute a world-class, disruptive data and analytics strategy
?Drive innovation through leading technologies – AI, machine learning, blockchain, Virtual/Augmented Reality, IoT and digital twins
?Modernize your infrastructure and adopt new architectural approaches to support digital transformation
?Exploit diverse datasets, diverse teams and diverse thinking to innovate business models
?Lead by enabling the right culture, people, skills and organization
?Accelerate the adoption of new skills, new roles, (such as Chief Data Officer), new ways of working and new data-driven thinking


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