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Category: Publications

WSC 2015: The Emergence of Knowledge on Twitter

Lachlan Birdsey’s paper on modeling and visualizing the emergence of knowledge topics on Twitter has been accepted for publication in WSC 2015. Congratulations Lachlan! Title: Twitter Knows: Understanding The Emergence Of Topics In Social Networks Abstract: Social networks such as Twitter and Facebook are important and widely used communication environments that exhibit scale, complexity, node interaction, and […]

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WISE 2015: Undestanding Users on Social Media

Yihong Zhang’s paper on classifying different user perspectives on Twitter has been accepted for publication in WISE 2015. Congratulations Yihong! Paper: Classifying Perspectives on Twitter: Immediate Observation, Affection, and Speculation Abstract: Popular micro-blogging services such as Twitter enable users to effortlessly publish observations and thoughts about ongoing events. Such social sensing generates a very large pool of […]

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WISE 2015: Location Inference on Social Media

Yihong Zhang’s paper on location inference on Twitter has been accepted for publication in the WISE 2015 conference. Congratulations Yihong! Paper Title: Sense and Focus: Towards Effective Location Inference and Event Detection on Twitter Abstract: Twitter users post observations about their immediate envi- ronment as a part of the 500 million tweets posted everyday. As such, Twitter […]

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SRDS 2015: Online Behavior Identification in Distributed Systems

Initial work from Javier Álvarez’s thesis work on modelling failure in distributed systems has been accepted for 34th Symposium on Reliable Distributed Systems (SRDS 2015). Javier Álvarez Cid-Fuentes, Claudia Szabo and Katrina Falkner, Online Behavior Identification in Distributed Systems. In Proceedings of the 34th Symposium on Reliable Distributed Systems (SRDS 2015). The diagnosis, prediction, and understanding of unexpected […]

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Two papers on truth discovery from Web data accepted at CIKM 2015

Two research papers from CDIT researchers have been recently accepted by the 24th ACM Conference on Information and Knowledge Management (CIKM 2015), to be held in Melbourne, Australia in October. Both papers target on challenging issue of discovering truth from conflicting, noisy, and massive Web data. Approximate Truth Discovery via Problem Scale Reduction. Xianzhi Wang, […]

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Special issue on “Big Data Analytics and the Web, IEEE Transactions on Big Data (TBD)”

Last few years have seen the rapid increase of sheer amount of data produced and communicated over the Web. Such Big Data are generated from all kinds of sources and applications such as social network services, cloud services, knowledge bases, and intelligent terminals, and often in a wide variety of formats such as unstructured, semi-structured, and structured. A […]

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Computer Standards & Interfaces: ASE – A Comprehensive Pattern-Driven Security Methodology for Distributed Systems

Anton Uzunov’s thesis work has been in the area of pattern-based security methodologies for distributed systems. Final work from thesis has been recently accepted for Computer Standards & Interfaces. Incorporating security features is one of the most important and challenging tasks in designing distributed systems. Over the last decade, researchers and practitioners have come to […]

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IEEE S&P: Last-level cache side-channel attacks are practical

Working with colleagues from Princeton University and from NICTA we demonstrate how to implement last-level cache side channels, measure their capacity and demonstrate that their resolution is sufficient for leaking cryptographic keys between co-located virtual machines and across multiple processor cores. F. Liu, Y. Yarom, Q. Ge, G. Heiser, and R.B. Lee, Last-Level Cache Side-Channel […]

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Springer released a new research book on Cloud Computing

Springer just released a new research book, “Trust Management in Cloud Services”, written by Web Technologies researchers Dr. Talal Noor and A/Prof. Michael Sheng. The details of this book can be found from here.

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Special issue on “Service Provisioning in the Big Data Era, Journal of Big Data, Springer”

Big Data requires services across various domains, heterogeneous networks and cyber-physical worlds to be aggregated, interoperated, and linked together into a massive and complicated collaborative service ecosystem which could in turn handles the challenging issues of Big Data. A/Prof. Michael Sheng and his colleagues are organising a special issue that aims at presenting the latest […]

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