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Colloquium talk of Prof. Hua Wang

Colloquium talk of Prof. Hua Wang
December 4, 2018 - 10:50pm

Title: Increasing data quality with loose associations in data outsourcing environment

Date: 04.12.2018, IFI 1.101, 14:00-16:00

Abstract: Outsourcing of data storage is increasingly common, but poses major problems for data utility and confidentiality.  This project aims to discover how tuples in fragments can be grouped for producing loose associations so to increase the utility of queries executed over fragments. It creates a framework to perform grouping and produce loose associations that satisfy information protection goals while achieving utility for queries. The outcomes of the project are to formally specify and develop a minimal fragmentation model to validate loose association rules while minimising data leakage risks. The outcomes will benefit Australians through enabling sharing and linking increasingly large datasets securely and cheaply.

Brief Bio: Hua is now a full time Professor at Victoria University. He was a professor at the University of Southern Queensland before he joined Victoria University in 2014.  Hua has more than ten years teaching and working experience in Applied Informatics at both enterprise and university. He has expertise in Big Data, Health Informatics, Cloud Computing,  Cyber Security, Artificial Intelligence. As a Chief Investigator, Hua has successfully received four Australian Research Council (ARC) Discovery grants and two Linkage grants  since 2006.  He is also a successor for international grants such as  two Japan – Australian grants, one German – Australian grant, one Norway Government grant  and grants from Hong Kong Chinese university, Hong Kong City University.

Hua has published 211 refereed scholar papers, including 75 Journal papers in data security, access control, data mining, database, privacy preserving and Web services. Representative publications are on ACM Transactions on Internet Technology, ACM Transactions on Information Systems, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Dependable and Secure Computing,  IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Automation Science and Engineering and World Wide Web; and Proceedings of ACL, AAAI, CIKM, ICDE, ICDM and PAKDD.

Hua is the Editor-in-Chief, ICST Transaction on Scalable Information Systems, and also editor for PLOS ONE and World Wide Web Journal – Springer.

The Computer Networks group at University of Göttingen is collaborating with Prof. Wang's group at Victoria University, on a DAAD-Australia project on big data security. Prof. Fu visited Victoria University during Feb-Mar 2018 and Prof. Wang is visiting University of Göttingen during Nov-Dec 2018.

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Title: Increasing data quality with loose associations in data outsourcing environment

Date: 04.12.2018, IFI 1.101, 14:00-16:00
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