posted by user: rongzhu || 13935 views || tracked by 240 users: [display]

ICDE 2016 : International Conference on Data Engineering


Conference Series : International Conference on Data Engineering
When May 16, 2016 - May 20, 2016
Where Helsinki, Finland
Submission Deadline Oct 19, 2015
Notification Due Dec 20, 2015
Final Version Due Jan 25, 2016
Categories    databases   data mining

Call For Papers

We invite the submission of original research contributions in the following areas but at the same time we welcome any original contributions that may cross the boundaries among areas or point in other novel directions:
Cloud Computing and Database-as-a-Service
Big Data and Data-Warehousing System Architectures
Data Integration, Metadata Management, and Interoperability
Modern Hardware and In-Memory Database Architecture and Systems
Privacy, Security, and Trust
Query Processing, Indexing, and Optimization
Social Networks, Social Web, Graph, and Personal Information Management
Crowdsourcing, Distributed, and P2P Data Management
Streams and Sensor Networks
High Performance Transaction Management
Temporal, Spatial, Mobile, and Multimedia Data
Strings, Texts, and Keyword Search
Uncertain and Probabilistic Data
Visual Data Analytics, Data Mining, and Knowledge Discovery

Related Resources

ICIEM 2016   International Conference on Integrated Environmental Management for Sustainable Development
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
IJE 2016   International Journal of Education
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
IEEE ITOEC 2017   2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management