BigDAP 2014 - 1st International Workshop on Big Data Applications and Principles
Topics/Call fo Papers
BIGDAP 2014 is a workshop aimed at promoting and displaying excellent research and innovation on Big Data. This workshop will provide a platform for researchers and developers, both from education and industry, to share ideas, knowledge and information among them with the purpose of enriching the current Big Data ecosystem.
BIGDAP 2014 will be organized in invited talks, one industrial track and peer-reviewed scientific contributions. Significant room will be reserved to PhD students in BIGDAP 2014, to allow them to share ideas and know-how related to Big Data topics.
BIGDAP 2014 encourages high-quality research in all branches of Big Data application. Their broad scope provides an opportunity to bring together researchers and industrial companies motivated by the exchange of theoretical, practical and experimental approaches in implemented real use cases.
Topics of either theoretical or applied interest include, but are not limited to:
Techniques, models and algorithms for Big data
Scalable Data Mining and Machine learning techniques and mechanisms
Big Data frameworks and architectures
NoSQL, NewSQL and Graph databases
Verification, Validation and Testing Big Data applications
Big Data and analytics in Telecommunication, Social Media, Bioinformatics, health care, medicine, finance, business, law, education, transportation, science, engineering, ecosystem, etc.
Multimedia and unstructured data management for Big Data
Parallel, distributed computing and virtualization for Big Data
Hardware/software infrastructure for Big Data
Big Data Security and Privacy challenges
Cleaning Big Data (noise reduction), acquisition & integration
Grid and stream computing for Big Data
Programming models and environments to support Big Data
Multidimensional Big Data
Algorithms for enhancing data quality
BIGDAP 2014 will be organized in invited talks, one industrial track and peer-reviewed scientific contributions. Significant room will be reserved to PhD students in BIGDAP 2014, to allow them to share ideas and know-how related to Big Data topics.
BIGDAP 2014 encourages high-quality research in all branches of Big Data application. Their broad scope provides an opportunity to bring together researchers and industrial companies motivated by the exchange of theoretical, practical and experimental approaches in implemented real use cases.
Topics of either theoretical or applied interest include, but are not limited to:
Techniques, models and algorithms for Big data
Scalable Data Mining and Machine learning techniques and mechanisms
Big Data frameworks and architectures
NoSQL, NewSQL and Graph databases
Verification, Validation and Testing Big Data applications
Big Data and analytics in Telecommunication, Social Media, Bioinformatics, health care, medicine, finance, business, law, education, transportation, science, engineering, ecosystem, etc.
Multimedia and unstructured data management for Big Data
Parallel, distributed computing and virtualization for Big Data
Hardware/software infrastructure for Big Data
Big Data Security and Privacy challenges
Cleaning Big Data (noise reduction), acquisition & integration
Grid and stream computing for Big Data
Programming models and environments to support Big Data
Multidimensional Big Data
Algorithms for enhancing data quality
Other CFPs
- 2nd International Conference on Automation, Control, Engineering and Computer Science (ACECS'15)
- 3rd International Conference on Innovation & Engineering Management (IEM-2015)
- 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
- ACM SIGKDD Workshop on Discovery Informatics
- 3rd International Symposium on MapReduce and Big Data Infrastructure (MR.BDI 2014)
Last modified: 2014-06-09 23:11:16