Aim
Big Data has become ubiquitous in modern society. It challenges state-of-the-art data acquisition, computation and analysis methods.
The workshop aims to gather experts in big data management to exchange views on cutting-edge data management problems. Further, the workshop aims to create opportunities for strengthening existing collaborations and for establishing new collaborations. Thus, the workshop will allow the attendees to build relations with Chinese and European researchers for future potential grant applications at Horizon 2020, Chinese NSFC, etc.
There are ten high-quality talks in this workshop, which cover diverse topics on big data management, such as big data implementations, big data cleansing, spatial data, social media data, cognitive data, cloud data, graph data, streaming data and real-life examples for big data.
Workshop Co-chairs
Prof. Christian S. Jensen (Aalborg University, Denmark)
Prof. Jiaheng Lu (University of Helsinki, Finland)
Web Co-chairs and Coordinators
Heli Helskyaho (University of Helsinki, Finland)
Chao Zhang (Renmin University of China, China)
Invited Speakers
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Dr. Mohammad Hoque (University of Helsinki, Finland)
Title: Cognitive Data Analytics Platform
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Mr. Heikki Hämäläinen (Eficode Oy, Finland)
Title: Real Life Examples of Big Data Implementations
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Prof. Hua Lu (Aalborg University, Denmark)
Title: Cleansing Indoor RFID Tracking Data
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Prof. Shuai Ma (Beihang University, China)
Title: Towards Big Graph Search: Challenges and Techniques
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Prof. Nikos Mamoulis (University of Ioannina, Greece)
Title: Big Data at the DATA Lab
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Prof. Jianliang Xu (Hong Kong Baptist University, Hong Kong)
Title: Querying Cloud Data with Confidentiality and Integrity Assurance
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Prof. Ge Yu (Northeastern University, China)
Title: I/O-Efficient Big Graph Computation
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Prof. Demetris Zeinalipour (University of Cyprus, Cyprus)
Title: Spatial Big Data Research and Applications at the University of Cyprus
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Prof. Xiaofang Zhou (University of Queensland, Australia and Soochow University, China)
Title: Managing Data with High Redundancy and Low Value Density
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Prof. Yongluan Zhou (University of Southern Denmark, Denmark)
Title: Research on Big Data Systems at the University of Southern Denmark